devboard: Khadas Edge2 - YingkunZhou/EdgeTransformerBench GitHub Wiki
Images 23.08.18-rpardini-426- Images 23.10.14-rpardini-628
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edge2-ubuntu-22.04-gnome-linux-5.10-fenix-1.6.2-240110.img.xz
- 重大利好，最新系统原装支持opencl！！！
dd if=/dev/zero of=/dev/mmcblk0 conv=fsync,notrunc bs=512 count=8
尴尬，更新上最新的系统之后就没法用这个方法了
Max out the Edge2 performance (Optional)
tweak
alias performance="echo performance | sudo tee /sys/bus/cpu/devices/cpu[046]/cpufreq/scaling_governor /sys/class/devfreq/dmc/governor /sys/class/devfreq/fb000000.gpu/governor"
alias ondemand="echo ondemand | sudo tee /sys/bus/cpu/devices/cpu[046]/cpufreq/scaling_governor && echo dmc_ondemand | sudo tee /sys/class/devfreq/dmc/governor && echo simple_ondemand | sudo tee /sys/class/devfreq/fb000000.gpu/governor"
alias powersave="echo powersave | sudo tee /sys/bus/cpu/devices/cpu[046]/cpufreq/scaling_governor /sys/class/devfreq/dmc/governor /sys/class/devfreq/fb000000.gpu/governor"tweak
alias fanon="echo 30 | sudo tee /sys/class/fan/trigger_temp_low && echo 40 | sudo tee /sys/class/fan/trigger_temp_mid && echo 50 | sudo tee /sys/class/fan/trigger_temp_high"single thread @2GHz
$ taskset -c 4 ./mnn_perf
Creating MNN Interpreter: efficientformerv2_s0
The device support i8sdot:1, support fp16:1, support i8mm: 0
(index: 985, score: 11.719070), (index: 644, score: 4.942233), (index: 309, score: 3.837214),
[419 iters] min = 47.64ms max = 48.58ms median = 47.74ms mean = 47.73ms mean = 47.79ms
Creating MNN Interpreter: efficientformerv2_s1
(index: 985, score: 13.267050), (index: 984, score: 4.345687), (index: 308, score: 4.289116),
[271 iters] min = 73.87ms max = 74.84ms median = 73.94ms mean = 74.00ms mean = 74.07ms
Creating MNN Interpreter: efficientformerv2_s2
(index: 985, score: 12.623688), (index: 22, score: 3.934839), (index: 309, score: 3.621716),
[153 iters] min = 130.69ms max = 133.00ms median = 130.77ms mean = 130.97ms mean = 131.04ms
Creating MNN Interpreter: SwiftFormer_XS
(index: 985, score: 11.777540), (index: 883, score: 4.872621), (index: 309, score: 4.720006),
[308 iters] min = 64.84ms max = 66.41ms median = 64.94ms mean = 65.02ms mean = 65.10ms
Creating MNN Interpreter: SwiftFormer_S
(index: 985, score: 13.017500), (index: 720, score: 4.264023), (index: 89, score: 4.236666),
[211 iters] min = 94.73ms max = 96.38ms median = 94.83ms mean = 94.95ms mean = 95.03ms
Creating MNN Interpreter: SwiftFormer_L1
(index: 985, score: 13.600887), (index: 310, score: 4.213078), (index: 309, score: 4.000207),
[139 iters] min = 143.99ms max = 145.73ms median = 144.03ms mean = 144.27ms mean = 144.35ms
Creating MNN Interpreter: EMO_1M
(index: 985, score: 9.835707), (index: 309, score: 4.373645), (index: 310, score: 3.886256),
[478 iters] min = 41.66ms max = 42.94ms median = 41.74ms mean = 41.80ms mean = 41.87ms
Creating MNN Interpreter: EMO_2M
(index: 985, score: 9.492629), (index: 309, score: 3.385969), (index: 308, score: 3.221591),
[321 iters] min = 62.23ms max = 63.87ms median = 62.23ms mean = 62.43ms mean = 62.49ms
Creating MNN Interpreter: EMO_5M
(index: 985, score: 9.188762), (index: 883, score: 2.813849), (index: 872, score: 2.550485),
[184 iters] min = 108.81ms max = 110.78ms median = 108.97ms mean = 109.06ms mean = 109.13ms
Creating MNN Interpreter: EMO_6M
(index: 985, score: 9.295821), (index: 309, score: 2.286871), (index: 308, score: 2.279376),
[173 iters] min = 115.49ms max = 117.35ms median = 115.60ms mean = 115.74ms mean = 115.81ms
Creating MNN Interpreter: edgenext_xx_small
(index: 985, score: 10.561434), (index: 309, score: 5.250806), (index: 310, score: 4.911592),
[555 iters] min = 35.78ms max = 38.62ms median = 35.87ms mean = 35.98ms mean = 36.06ms
Creating MNN Interpreter: edgenext_x_small
(index: 985, score: 9.692822), (index: 309, score: 4.415436), (index: 308, score: 3.541662),
[277 iters] min = 71.88ms max = 74.92ms median = 72.11ms mean = 72.17ms mean = 72.27ms
Creating MNN Interpreter: edgenext_small
(index: 985, score: 12.133100), (index: 309, score: 4.457827), (index: 308, score: 3.973910),
[140 iters] min = 142.85ms max = 145.03ms median = 143.98ms mean = 143.13ms mean = 143.23ms
Creating MNN Interpreter: mobilevitv2_050
(index: 985, score: 8.414091), (index: 309, score: 2.655013), (index: 89, score: 2.475482),
[324 iters] min = 61.52ms max = 63.32ms median = 61.60ms mean = 61.69ms mean = 61.79ms
Creating MNN Interpreter: mobilevitv2_075
(index: 985, score: 8.284222), (index: 309, score: 2.720599), (index: 308, score: 2.143365),
[173 iters] min = 115.49ms max = 117.40ms median = 115.52ms mean = 115.74ms mean = 115.83ms
Creating MNN Interpreter: mobilevitv2_100
(index: 985, score: 8.258598), (index: 557, score: 2.323085), (index: 309, score: 2.103235),
[107 iters] min = 187.59ms max = 189.76ms median = 187.80ms mean = 188.00ms mean = 188.09ms
Creating MNN Interpreter: mobilevitv2_125
(index: 985, score: 8.478318), (index: 309, score: 2.083009), (index: 113, score: 1.427779),
[74 iters] min = 270.97ms max = 273.50ms median = 272.39ms mean = 271.55ms mean = 271.64ms
Creating MNN Interpreter: mobilevitv2_150
(index: 985, score: 9.081230), (index: 308, score: 2.288944), (index: 301, score: 2.262866),
[55 iters] min = 368.16ms max = 370.82ms median = 370.73ms mean = 369.13ms mean = 369.23ms
Creating MNN Interpreter: mobilevitv2_175
(index: 985, score: 8.934436), (index: 494, score: 2.101688), (index: 309, score: 1.884150),
[42 iters] min = 481.71ms max = 484.69ms median = 482.13ms mean = 482.79ms mean = 482.88ms
Creating MNN Interpreter: mobilevitv2_200
(index: 985, score: 8.605928), (index: 309, score: 2.242715), (index: 308, score: 2.195836),
[32 iters] min = 623.48ms max = 627.05ms median = 625.92ms mean = 625.06ms mean = 625.16ms
Creating MNN Interpreter: mobilevit_xx_small
(index: 985, score: 12.431662), (index: 309, score: 6.492202), (index: 308, score: 6.248194),
[351 iters] min = 56.82ms max = 58.33ms median = 56.99ms mean = 56.97ms mean = 57.06ms
Creating MNN Interpreter: mobilevit_x_small
(index: 985, score: 13.044968), (index: 89, score: 6.823716), (index: 309, score: 5.869482),
[155 iters] min = 129.18ms max = 131.76ms median = 129.45ms mean = 129.59ms mean = 129.69ms
Creating MNN Interpreter: mobilevit_small
(index: 985, score: 10.440684), (index: 309, score: 3.714748), (index: 838, score: 3.706903),
[100 iters] min = 200.61ms max = 203.01ms median = 200.91ms mean = 201.16ms mean = 201.26ms
Creating MNN Interpreter: LeViT_128S
(index: 985, score: 11.709262), (index: 308, score: 3.568025), (index: 309, score: 3.375847),
[682 iters] min = 29.18ms max = 30.32ms median = 29.33ms mean = 29.29ms mean = 29.36ms
Creating MNN Interpreter: LeViT_128
(index: 985, score: 11.346603), (index: 309, score: 3.408504), (index: 113, score: 3.297330),
[501 iters] min = 39.77ms max = 40.81ms median = 39.83ms mean = 39.89ms mean = 39.96ms
Creating MNN Interpreter: LeViT_192
(index: 985, score: 11.811327), (index: 324, score: 3.396982), (index: 326, score: 3.303844),
[339 iters] min = 58.88ms max = 60.20ms median = 58.88ms mean = 59.02ms mean = 59.10ms
Creating MNN Interpreter: LeViT_256
(index: 985, score: 11.188660), (index: 108, score: 3.035140), (index: 309, score: 2.935835),
[202 iters] min = 98.67ms max = 101.41ms median = 98.93ms mean = 98.94ms mean = 99.02ms
Creating MNN Interpreter: resnet50
(index: 985, score: 7.986950), (index: 113, score: -5.246493), (index: 310, score: -5.445892),
[83 iters] min = 240.54ms max = 243.19ms median = 240.77ms mean = 241.20ms mean = 241.27ms
Creating MNN Interpreter: mobilenetv3_large_100
(index: 985, score: 9.726588), (index: 310, score: 2.717167), (index: 308, score: 2.388682),
[797 iters] min = 24.94ms max = 25.91ms median = 25.02ms mean = 25.03ms mean = 25.10ms
Creating MNN Interpreter: tf_efficientnetv2_b0
(index: 985, score: 9.735068), (index: 309, score: 2.587826), (index: 310, score: 2.398119),
[325 iters] min = 61.38ms max = 62.75ms median = 61.53ms mean = 61.61ms mean = 61.68ms
Creating MNN Interpreter: tf_efficientnetv2_b1
(index: 985, score: 9.685617), (index: 309, score: 2.282608), (index: 310, score: 2.219991),
[217 iters] min = 92.20ms max = 94.15ms median = 92.32ms mean = 92.45ms mean = 92.53ms
Creating MNN Interpreter: tf_efficientnetv2_b2
(index: 985, score: 10.032533), (index: 883, score: 2.633862), (index: 309, score: 2.177293),
[150 iters] min = 133.31ms max = 135.33ms median = 133.44ms mean = 133.65ms mean = 133.74ms
Creating MNN Interpreter: tf_efficientnetv2_b3
(index: 985, score: 9.174402), (index: 955, score: 2.844466), (index: 310, score: 2.219664),
[87 iters] min = 231.13ms max = 233.19ms median = 231.40ms mean = 231.61ms mean = 231.73mssingle thread @1.8G
Creating MNN Interpreter: efficientformerv2_s0
The device support i8sdot:1, support fp16:1, support i8mm: 0
(index: 985, score: 11.719070), (index: 644, score: 4.942233), (index: 309, score: 3.837214),
[123 iters] min = 162.21ms max = 165.18ms median = 162.51ms mean = 162.75ms mean = 162.93ms
Creating MNN Interpreter: efficientformerv2_s1
(index: 985, score: 13.267050), (index: 984, score: 4.345687), (index: 308, score: 4.289116),
[80 iters] min = 250.82ms max = 254.80ms median = 251.40ms mean = 251.41ms mean = 251.58ms
Creating MNN Interpreter: efficientformerv2_s2
(index: 985, score: 12.623688), (index: 22, score: 3.934839), (index: 309, score: 3.621716),
[45 iters] min = 444.44ms max = 446.75ms median = 445.82ms mean = 445.36ms mean = 445.53ms
Creating MNN Interpreter: SwiftFormer_XS
(index: 985, score: 11.777540), (index: 883, score: 4.872621), (index: 309, score: 4.720006),
[93 iters] min = 216.72ms max = 218.60ms median = 216.72ms mean = 217.16ms mean = 217.34ms
Creating MNN Interpreter: SwiftFormer_S
(index: 985, score: 13.017500), (index: 720, score: 4.264023), (index: 89, score: 4.236666),
[63 iters] min = 319.33ms max = 321.99ms median = 319.97ms mean = 319.95ms mean = 320.12ms
Creating MNN Interpreter: SwiftFormer_L1
(index: 985, score: 13.600887), (index: 310, score: 4.213078), (index: 309, score: 4.000207),
[41 iters] min = 487.15ms max = 491.85ms median = 488.60ms mean = 488.44ms mean = 488.63ms
Creating MNN Interpreter: EMO_1M
(index: 985, score: 9.835707), (index: 309, score: 4.373645), (index: 310, score: 3.886256),
[143 iters] min = 139.74ms max = 140.55ms median = 139.95ms mean = 140.00ms mean = 140.19ms
Creating MNN Interpreter: EMO_2M
(index: 985, score: 9.492629), (index: 309, score: 3.385969), (index: 308, score: 3.221591),
[95 iters] min = 210.74ms max = 212.46ms median = 210.93ms mean = 211.09ms mean = 211.26ms
Creating MNN Interpreter: EMO_5M
(index: 985, score: 9.188762), (index: 883, score: 2.813849), (index: 872, score: 2.550485),
[54 iters] min = 371.07ms max = 373.93ms median = 372.31ms mean = 372.30ms mean = 372.47ms
Creating MNN Interpreter: EMO_6M
(index: 985, score: 9.295821), (index: 309, score: 2.286871), (index: 308, score: 2.279376),
[51 iters] min = 393.20ms max = 395.15ms median = 393.73ms mean = 393.88ms mean = 394.05ms
Creating MNN Interpreter: edgenext_xx_small
(index: 985, score: 10.561434), (index: 309, score: 5.250806), (index: 310, score: 4.911592),
[158 iters] min = 126.23ms max = 131.41ms median = 126.51ms mean = 126.62ms mean = 126.91ms
Creating MNN Interpreter: edgenext_x_small
(index: 985, score: 9.692822), (index: 309, score: 4.415436), (index: 308, score: 3.541662),
[79 iters] min = 252.74ms max = 257.54ms median = 253.79ms mean = 253.42ms mean = 253.71ms
Creating MNN Interpreter: edgenext_small
(index: 985, score: 12.133100), (index: 309, score: 4.457827), (index: 308, score: 3.973910),
[39 iters] min = 507.47ms max = 518.85ms median = 514.83ms mean = 513.58ms mean = 513.88ms
Creating MNN Interpreter: mobilevitv2_050
(index: 985, score: 8.414091), (index: 309, score: 2.655013), (index: 89, score: 2.475482),
[99 iters] min = 202.96ms max = 204.27ms median = 203.47ms mean = 203.37ms mean = 203.67ms
Creating MNN Interpreter: mobilevitv2_075
(index: 985, score: 8.284222), (index: 309, score: 2.720599), (index: 308, score: 2.143365),
[52 iters] min = 386.38ms max = 388.81ms median = 386.59ms mean = 387.08ms mean = 387.37ms
Creating MNN Interpreter: mobilevitv2_100
(index: 985, score: 8.258598), (index: 557, score: 2.323085), (index: 309, score: 2.103235),
[32 iters] min = 634.22ms max = 636.83ms median = 635.12ms mean = 635.22ms mean = 635.52ms
Creating MNN Interpreter: mobilevitv2_125
(index: 985, score: 8.478318), (index: 309, score: 2.083009), (index: 113, score: 1.427779),
[22 iters] min = 934.36ms max = 941.05ms median = 936.46ms mean = 936.31ms mean = 936.60ms
Creating MNN Interpreter: mobilevitv2_150
(index: 985, score: 9.081230), (index: 308, score: 2.288944), (index: 301, score: 2.262866),
[16 iters] min =1255.75ms max =1260.97ms median =1256.03ms mean =1257.78ms mean =1258.08ms
Creating MNN Interpreter: mobilevitv2_175
(index: 985, score: 8.934436), (index: 494, score: 2.101688), (index: 309, score: 1.884150),
[13 iters] min =1634.13ms max =1637.55ms median =1635.64ms mean =1635.82ms mean =1636.12ms
Creating MNN Interpreter: mobilevitv2_200
(index: 985, score: 8.605928), (index: 309, score: 2.242715), (index: 308, score: 2.195836),
[10 iters] min =2093.89ms max =2097.10ms median =2094.96ms mean =2095.11ms mean =2095.40ms
Creating MNN Interpreter: mobilevit_xx_small
(index: 985, score: 12.431662), (index: 309, score: 6.492202), (index: 308, score: 6.248194),
[97 iters] min = 207.08ms max = 208.31ms median = 207.43ms mean = 207.50ms mean = 207.79ms
Creating MNN Interpreter: mobilevit_x_small
(index: 985, score: 13.044968), (index: 89, score: 6.823716), (index: 309, score: 5.869482),
[45 iters] min = 447.37ms max = 449.66ms median = 447.96ms mean = 448.09ms mean = 448.39ms
Creating MNN Interpreter: mobilevit_small
(index: 985, score: 10.440684), (index: 309, score: 3.714748), (index: 838, score: 3.706903),
[29 iters] min = 694.79ms max = 699.28ms median = 696.17ms mean = 696.24ms mean = 696.55ms
Creating MNN Interpreter: LeViT_128S
(index: 985, score: 11.709262), (index: 308, score: 3.568025), (index: 309, score: 3.375847),
[194 iters] min = 102.74ms max = 103.93ms median = 103.17ms mean = 103.10ms mean = 103.28ms
Creating MNN Interpreter: LeViT_128
(index: 985, score: 11.346603), (index: 309, score: 3.408504), (index: 113, score: 3.297330),
[141 iters] min = 141.76ms max = 143.45ms median = 142.10ms mean = 142.09ms mean = 142.26ms
Creating MNN Interpreter: LeViT_192
(index: 985, score: 11.811327), (index: 324, score: 3.396982), (index: 326, score: 3.303844),
[98 iters] min = 203.37ms max = 205.39ms median = 203.73ms mean = 203.96ms mean = 204.14ms
Creating MNN Interpreter: LeViT_256
(index: 985, score: 11.188660), (index: 108, score: 3.035140), (index: 309, score: 2.935835),
[60 iters] min = 335.79ms max = 339.53ms median = 336.67ms mean = 336.94ms mean = 337.13ms
Creating MNN Interpreter: resnet50
(index: 985, score: 7.986950), (index: 113, score: -5.246493), (index: 310, score: -5.445892),
[25 iters] min = 828.37ms max = 832.05ms median = 828.37ms mean = 830.51ms mean = 830.69ms
Creating MNN Interpreter: mobilenetv3_large_100
(index: 985, score: 9.726588), (index: 310, score: 2.717167), (index: 308, score: 2.388682),
[229 iters] min = 86.81ms max = 88.69ms median = 87.54ms mean = 87.34ms mean = 87.52ms
Creating MNN Interpreter: tf_efficientnetv2_b0
(index: 985, score: 9.735068), (index: 309, score: 2.587826), (index: 310, score: 2.398119),
[97 iters] min = 205.59ms max = 207.11ms median = 206.34ms mean = 206.26ms mean = 206.46ms
Creating MNN Interpreter: tf_efficientnetv2_b1
(index: 985, score: 9.685617), (index: 309, score: 2.282608), (index: 310, score: 2.219991),
[64 iters] min = 315.44ms max = 317.29ms median = 315.62ms mean = 316.04ms mean = 316.22ms
Creating MNN Interpreter: tf_efficientnetv2_b2
(index: 985, score: 10.032533), (index: 883, score: 2.633862), (index: 309, score: 2.177293),
[45 iters] min = 446.86ms max = 448.69ms median = 447.89ms mean = 447.63ms mean = 447.90ms
Creating MNN Interpreter: tf_efficientnetv2_b3
(index: 985, score: 9.174402), (index: 955, score: 2.844466), (index: 310, score: 2.219664),
[27 iters] min = 763.20ms max = 765.31ms median = 763.79ms mean = 763.72ms mean = 764.01ms
dmesg log
$ sudo dmesg | grep gpu
[ 25.487203] vdd_gpu_s0: supplied by vcc5v0_sys
[ 25.489628] vdd_gpu_s0: 550 <--> 950 mV at 750 mV, enabled
[ 26.996846] rockchip-pm-domain fd8d8000.power-management:power-controller: Looking up gpu-supply from device tree
[ 26.996943] rockchip-pm-domain fd8d8000.power-management:power-controller: Looking up gpu-supply property in node /power-management@fd8d8000/power-controller failed
[ 26.997150] mali fb000000.gpu: Kernel DDK version g18p0-01eac0
[ 27.009473] mali fb000000.gpu: Looking up mali-supply from device tree
[ 27.009733] mali fb000000.gpu: Looking up mem-supply from device tree
[ 27.009945] mali fb000000.gpu: Looking up mali-supply from device tree
[ 27.009988] vdd_gpu_s0: could not add device link fb000000.gpu: -EEXIST
[ 27.009995] vdd_gpu_s0: Failed to create debugfs directory
[ 27.010004] mali fb000000.gpu: Looking up mem-supply from device tree
[ 27.010029] vdd_gpu_s0: could not add device link fb000000.gpu: -EEXIST
[ 27.010035] vdd_gpu_s0: Failed to create debugfs directory
[ 27.010625] mali fb000000.gpu: Looking up mali-supply from device tree
[ 27.023136] vdd_gpu_s0: could not add device link fb000000.gpu: -EEXIST
[ 27.023146] vdd_gpu_s0: Failed to create debugfs directory
[ 27.027307] mali fb000000.gpu: bin=0
[ 27.035119] mali fb000000.gpu: leakage=15
[ 27.036870] mali fb000000.gpu: Looking up mali-supply from device tree
[ 27.040626] debugfs: Directory 'fb000000.gpu-mali' with parent 'vdd_gpu_s0' already present!
[ 27.057876] mali fb000000.gpu: pvtm=827
[ 27.069517] mali fb000000.gpu: pvtm-volt-sel=1
[ 27.077197] mali fb000000.gpu: avs=0
[ 27.088582] W : [File] : drivers/gpu/arm/bifrost/platform/rk/mali_kbase_config_rk.c; [Line] : 143; [Func] : kbase_platform_rk_init(); power-off-delay-ms not available.
[ 27.101196] mali fb000000.gpu: r0p0 status 5 not found in HW issues table;
[ 27.101202] mali fb000000.gpu: falling back to closest match: r0p0 status 0
[ 27.101206] mali fb000000.gpu: Execution proceeding normally with fallback match
[ 27.101212] mali fb000000.gpu: GPU identified as 0x7 arch 10.8.6 r0p0 status 0
[ 27.101271] mali fb000000.gpu: No priority control manager is configured
[ 27.101647] mali fb000000.gpu: No memory group manager is configured
[ 27.101680] mali fb000000.gpu: Protected memory allocator not available
[ 27.102614] mali fb000000.gpu: Capping CSF_FIRMWARE_TIMEOUT to CSF_FIRMWARE_PING_TIMEOUT
[ 27.103186] mali fb000000.gpu: l=10000 h=85000 hyst=5000 l_limit=0 h_limit=800000000 h_table=0
[ 27.106270] mali fb000000.gpu: Probed as mali0
[ 27.847960] I : [File] : drivers/gpu/arm/mali400/mali/linux/mali_kernel_linux.c; [Line] : 406; [Func] : mali_module_init(); svn_rev_string_from_arm of this mali_ko is '', rk_ko_ver is '5', built at '06:00:37', on 'Aug 14 2023'.
[ 49.253576] mali fb000000.gpu: Loading Mali firmware 0x1010000
[ 49.257998] mali fb000000.gpu: Mali firmware git_sha: ee476db42870778306fa8d559a605a73f13e455c glmark2 performance
$ echo $XDG_SESSION_TYPE
wayland
$ glmark2-wayland
=======================================================
glmark2 2021.02
=======================================================
OpenGL Information
GL_VENDOR: Panfrost
GL_RENDERER: Mali-G610 (Panfrost)
GL_VERSION: 3.3 (Compatibility Profile) Mesa 23.0.0-devel
=======================================================
[build] use-vbo=false: FPS: 1261 FrameTime: 0.793 ms
[build] use-vbo=true: FPS: 1602 FrameTime: 0.624 ms
[texture] texture-filter=nearest: FPS: 1607 FrameTime: 0.622 ms
[texture] texture-filter=linear: FPS: 1575 FrameTime: 0.635 ms
[texture] texture-filter=mipmap: FPS: 1562 FrameTime: 0.640 ms
[shading] shading=gouraud: FPS: 1475 FrameTime: 0.678 ms
[shading] shading=blinn-phong-inf: FPS: 1441 FrameTime: 0.694 ms
[shading] shading=phong: FPS: 1364 FrameTime: 0.733 ms
[shading] shading=cel: FPS: 1374 FrameTime: 0.728 ms
[bump] bump-render=high-poly: FPS: 1025 FrameTime: 0.976 ms
[bump] bump-render=normals: FPS: 1593 FrameTime: 0.628 ms
[bump] bump-render=height: FPS: 1592 FrameTime: 0.628 ms
[effect2d] kernel=0,1,0;1,-4,1;0,1,0;: FPS: 1330 FrameTime: 0.752 ms
[effect2d] kernel=1,1,1,1,1;1,1,1,1,1;1,1,1,1,1;: FPS: 908 FrameTime: 1.101 ms
[pulsar] light=false:quads=5:texture=false: FPS: 1336 FrameTime: 0.749 ms
[desktop] blur-radius=5:effect=blur:passes=1:separable=true:windows=4: FPS: 273 FrameTime: 3.663 ms
[desktop] effect=shadow:windows=4: FPS: 736 FrameTime: 1.359 ms
[buffer] columns=200:interleave=false:update-dispersion=0.9:update-fraction=0.5:update-method=map: FPS: 194 FrameTime: 5.155 ms
[buffer] columns=200:interleave=false:update-dispersion=0.9:update-fraction=0.5:update-method=subdata: FPS: 188 FrameTime: 5.319 ms
[buffer] columns=200:interleave=true:update-dispersion=0.9:update-fraction=0.5:update-method=map: FPS: 264 FrameTime: 3.788 ms
[ideas] speed=duration: FPS: 417 FrameTime: 2.398 ms
[jellyfish] <default>: FPS: 1137 FrameTime: 0.880 ms
[terrain] <default>: FPS: 61 FrameTime: 16.393 ms
[shadow] <default>: FPS: 865 FrameTime: 1.156 ms
[refract] <default>: FPS: 332 FrameTime: 3.012 ms
[conditionals] fragment-steps=0:vertex-steps=0: FPS: 1543 FrameTime: 0.648 ms
[conditionals] fragment-steps=5:vertex-steps=0: FPS: 1327 FrameTime: 0.754 ms
[conditionals] fragment-steps=0:vertex-steps=5: FPS: 1311 FrameTime: 0.763 ms
[function] fragment-complexity=low:fragment-steps=5: FPS: 1297 FrameTime: 0.771 ms
[function] fragment-complexity=medium:fragment-steps=5: FPS: 1279 FrameTime: 0.782 ms
[loop] fragment-loop=false:fragment-steps=5:vertex-steps=5: FPS: 1309 FrameTime: 0.764 ms
[loop] fragment-steps=5:fragment-uniform=false:vertex-steps=5: FPS: 1313 FrameTime: 0.762 ms
[loop] fragment-steps=5:fragment-uniform=true:vertex-steps=5: FPS: 1298 FrameTime: 0.770 ms
=======================================================
glmark2 Score: 1096
=======================================================
$ glmark2-es2-wayland
=======================================================
glmark2 2021.02
=======================================================
OpenGL Information
GL_VENDOR: Panfrost
GL_RENDERER: Mali-G610 (Panfrost)
GL_VERSION: OpenGL ES 3.1 Mesa 23.0.0-devel
=======================================================
[build] use-vbo=false: FPS: 1293 FrameTime: 0.773 ms
[build] use-vbo=true: FPS: 1638 FrameTime: 0.611 ms
[texture] texture-filter=nearest: FPS: 1644 FrameTime: 0.608 ms
[texture] texture-filter=linear: FPS: 1665 FrameTime: 0.601 ms
[texture] texture-filter=mipmap: FPS: 1646 FrameTime: 0.608 ms
[shading] shading=gouraud: FPS: 1513 FrameTime: 0.661 ms
[shading] shading=blinn-phong-inf: FPS: 1491 FrameTime: 0.671 ms
[shading] shading=phong: FPS: 1412 FrameTime: 0.708 ms
[shading] shading=cel: FPS: 1420 FrameTime: 0.704 ms
[bump] bump-render=high-poly: FPS: 1070 FrameTime: 0.935 ms
[bump] bump-render=normals: FPS: 1651 FrameTime: 0.606 ms
[bump] bump-render=height: FPS: 1646 FrameTime: 0.608 ms
[effect2d] kernel=0,1,0;1,-4,1;0,1,0;: FPS: 1488 FrameTime: 0.672 ms
[effect2d] kernel=1,1,1,1,1;1,1,1,1,1;1,1,1,1,1;: FPS: 1189 FrameTime: 0.841 ms
[pulsar] light=false:quads=5:texture=false: FPS: 1531 FrameTime: 0.653 ms
[desktop] blur-radius=5:effect=blur:passes=1:separable=true:windows=4: FPS: 280 FrameTime: 3.571 ms
[desktop] effect=shadow:windows=4: FPS: 752 FrameTime: 1.330 ms
[buffer] columns=200:interleave=false:update-dispersion=0.9:update-fraction=0.5:update-method=map: FPS: 194 FrameTime: 5.155 ms
[buffer] columns=200:interleave=false:update-dispersion=0.9:update-fraction=0.5:update-method=subdata: FPS: 179 FrameTime: 5.587 ms
[buffer] columns=200:interleave=true:update-dispersion=0.9:update-fraction=0.5:update-method=map: FPS: 269 FrameTime: 3.717 ms
[ideas] speed=duration: FPS: 423 FrameTime: 2.364 ms
[jellyfish] <default>: FPS: 1119 FrameTime: 0.894 ms
[terrain] <default>: FPS: 60 FrameTime: 16.667 ms
[shadow] <default>: FPS: 880 FrameTime: 1.136 ms
[refract] <default>: FPS: 333 FrameTime: 3.003 ms
[conditionals] fragment-steps=0:vertex-steps=0: FPS: 1563 FrameTime: 0.640 ms
[conditionals] fragment-steps=5:vertex-steps=0: FPS: 1502 FrameTime: 0.666 ms
[conditionals] fragment-steps=0:vertex-steps=5: FPS: 1563 FrameTime: 0.640 ms
[function] fragment-complexity=low:fragment-steps=5: FPS: 1556 FrameTime: 0.643 ms
[function] fragment-complexity=medium:fragment-steps=5: FPS: 1520 FrameTime: 0.658 ms
[loop] fragment-loop=false:fragment-steps=5:vertex-steps=5: FPS: 1564 FrameTime: 0.639 ms
[loop] fragment-steps=5:fragment-uniform=false:vertex-steps=5: FPS: 1557 FrameTime: 0.642 ms
[loop] fragment-steps=5:fragment-uniform=true:vertex-steps=5: FPS: 1523 FrameTime: 0.657 ms
=======================================================
glmark2 Score: 1185
=======================================================$ apt search g610
Sorting... Done
Full Text Search... Done
libmali-g610-x11/jammy,now 1.0.5-2 arm64
This is libmali g610 x11 blobs
mali-g610-firmware/jammy,now 1.0.2 all [installed]
<insert up to 60 chars description>
$ sudo apt install libmali-g610-x11performance
$ cat /etc/OpenCL/vendors/mali-arm64.icd
/usr/lib/aarch64-linux-gnu/libmali-x11/libmali-valhall-g610-g13p0-x11-wayland-gbm.so
Creating MNN Interpreter: resnet50
The device support i8sdot:1, support fp16:1, support i8mm: 0
arm_release_ver: g13p0-01eac0, rk_so_ver: 3
(index: 985, score: 7.988281), (index: 113, score: -5.160156), (index: 307, score: -5.410156),
[440 iters] min = 1.34ms max = 2.69ms median = 1.84ms mean = 1.84ms mean = 45.48ms
Creating MNN Interpreter: mobilenetv3_large_100
(index: 985, score: 9.687500), (index: 310, score: 2.724609), (index: 308, score: 2.384766),
[1198 iters] min = 14.69ms max = 15.45ms median = 14.94ms mean = 14.96ms mean = 16.70ms
Creating MNN Interpreter: tf_efficientnetv2_b0
(index: 985, score: 9.703125), (index: 309, score: 2.578125), (index: 310, score: 2.404297),
[596 iters] min = 31.37ms max = 39.88ms median = 31.75ms mean = 31.94ms mean = 33.56ms
Creating MNN Interpreter: tf_efficientnetv2_b1
(index: 985, score: 9.671875), (index: 309, score: 2.289062), (index: 310, score: 2.210938),
[397 iters] min = 47.88ms max = 59.14ms median = 48.61ms mean = 48.71ms mean = 50.43ms
Creating MNN Interpreter: tf_efficientnetv2_b2
(index: 985, score: 10.054688), (index: 883, score: 2.615234), (index: 309, score: 2.158203),
[296 iters] min = 64.33ms max = 66.63ms median = 65.63ms mean = 65.61ms mean = 67.68ms
Creating MNN Interpreter: tf_efficientnetv2_b3
(index: 985, score: 9.234375), (index: 955, score: 2.845703), (index: 310, score: 2.205078),
[194 iters] min = 89.87ms max = 102.16ms median = 100.75ms mean = 100.94ms mean = 103.50ms
-------
$ cat /etc/OpenCL/vendors/mali-arm64.icd
/home/albert/work/opengl/libmali-valhall-g610-g15p0-wayland.so
Creating MNN Interpreter: resnet50
The device support i8sdot:1, support fp16:1, support i8mm: 0
arm_release_ver of this libmali is 'g6p0-01eac0', rk_so_ver is '6'.
(index: 985, score: 7.988281), (index: 113, score: -5.160156), (index: 307, score: -5.410156),
[437 iters] min = 1.39ms max = 2.77ms median = 1.96ms mean = 1.95ms mean = 45.81ms
Creating MNN Interpreter: mobilenetv3_large_100
(index: 985, score: 9.687500), (index: 310, score: 2.724609), (index: 308, score: 2.384766),
[1034 iters] min = 15.47ms max = 38.45ms median = 17.64ms mean = 17.70ms mean = 19.36ms
Creating MNN Interpreter: tf_efficientnetv2_b0
(index: 985, score: 9.703125), (index: 309, score: 2.578125), (index: 310, score: 2.404297),
[565 iters] min = 32.85ms max = 35.53ms median = 33.59ms mean = 33.66ms mean = 35.40ms
Creating MNN Interpreter: tf_efficientnetv2_b1
(index: 985, score: 9.671875), (index: 309, score: 2.289062), (index: 310, score: 2.210938),
[399 iters] min = 44.94ms max = 62.52ms median = 50.67ms mean = 48.44ms mean = 50.20ms
Creating MNN Interpreter: tf_efficientnetv2_b2
(index: 985, score: 10.054688), (index: 883, score: 2.615234), (index: 309, score: 2.158203),
[315 iters] min = 59.29ms max = 67.59ms median = 60.98ms mean = 61.48ms mean = 63.55ms
Creating MNN Interpreter: tf_efficientnetv2_b3
(index: 985, score: 9.234375), (index: 955, score: 2.845703), (index: 310, score: 2.205078),
[209 iters] min = 91.51ms max = 102.64ms median = 94.30ms mean = 93.60ms mean = 96.14ms
- OS images collection for online installation via oowow-wizard
- https://dl.khadas.com/.images/edge2/edge2-ubuntu-22.04-gnome-linux-5.10-fenix-1.5-230425.img.xz
- Khadas Edge2 Pro review – A Rockchip RK3588S SBC tested with Ubuntu 22.04
first glance
$ eglinfo
EGL client extensions string:
EGL_EXT_client_extensions EGL_EXT_platform_base
EGL_KHR_client_get_all_proc_addresses EGL_KHR_platform_gbm
EGL_KHR_platform_wayland EGL_EXT_platform_wayland
GBM platform:
arm_release_ver of this libmali is 'g6p0-01eac0', rk_so_ver is '6'.
eglinfo: eglInitialize failed
Wayland platform:
EGL API version: 1.4
EGL vendor string: ARM
EGL version string: 1.4 Valhall-"g6p0-01eac0"
EGL client APIs: OpenGL_ES
EGL extensions string:
EGL_WL_bind_wayland_display EGL_NV_context_priority_realtime
EGL_KHR_partial_update EGL_EXT_swap_buffers_with_damage
EGL_KHR_swap_buffers_with_damage EGL_KHR_config_attribs EGL_KHR_image
EGL_KHR_image_base EGL_KHR_fence_sync EGL_KHR_wait_sync
EGL_KHR_gl_colorspace EGL_KHR_get_all_proc_addresses
EGL_IMG_context_priority EGL_KHR_no_config_context
EGL_EXT_image_dma_buf_import EGL_EXT_image_dma_buf_import_modifiers
EGL_EXT_yuv_surface EGL_EXT_pixel_format_float
EGL_ARM_pixmap_multisample_discard EGL_KHR_gl_texture_2D_image
EGL_KHR_gl_renderbuffer_image EGL_KHR_create_context
EGL_KHR_surfaceless_context EGL_KHR_gl_texture_cubemap_image
EGL_EXT_image_gl_colorspace EGL_EXT_create_context_robustness
Configurations:
bf lv colorbuffer dp st ms vis cav bi renderable supported
id sz l r g b a th cl ns b id eat nd gl es es2 vg surfaces
---------------------------------------------------------------------
0x01 32 0 8 8 8 8 0 0 0 0 0x00-- a y y win,pb
0x02 32 0 8 8 8 8 24 0 0 0 0x00-- a y y win,pb
0x03 32 0 8 8 8 8 24 8 0 0 0x00-- a y y win,pb
0x04 32 0 8 8 8 8 24 8 4 1 0x00-- a y y win,pb
0x05 16 0 5 6 5 0 0 0 0 0 0x00-- y y y win,pb
0x06 16 0 5 6 5 0 24 0 0 0 0x00-- y y y win,pb
0x07 16 0 5 6 5 0 24 8 0 0 0x00-- y y y win,pb
0x08 16 0 5 6 5 0 24 8 4 1 0x00-- y y y win,pb
0x09 24 0 8 8 8 0 0 0 0 0 0x00-- y y y win,pb
0x0a 24 0 8 8 8 0 24 8 0 0 0x00-- y y y win,pb
0x0b 24 0 8 8 8 0 0 0 4 1 0x00-- y y y win,pb
0x0c 24 0 8 8 8 0 24 8 4 1 0x00-- y y y win,pb
0x0d 16 0 5 5 5 1 24 8 0 0 0x00-- a y y win,pb
0x0e 16 0 5 5 5 1 24 8 4 1 0x00-- a y y win,pb
0x0f 16 0 4 4 4 4 24 8 0 0 0x00-- a y y win,pb
0x10 16 0 4 4 4 4 24 8 4 1 0x00-- a y y win,pb
0x11 32 0 8 8 8 8 24 8 8 1 0x00-- a y y win,pb
0x12 16 0 5 6 5 0 24 8 8 1 0x00-- y y y win,pb
0x13 24 0 8 8 8 0 24 8 8 1 0x00-- y y y win,pb
0x14 32 0 8 8 8 8 24 8 16 1 0x00-- a y y win,pb
0x15 16 0 5 6 5 0 24 8 16 1 0x00-- y y y win,pb
0x16 24 0 8 8 8 0 24 8 16 1 0x00-- y y y win,pb
0x17 24 0 8 8 8 0 0 0 0 0 0x00-- y y pb
0x18 64 0 16 16 16 16 24 8 0 0 0x00-- y y pb
0x19 32 0 10 10 10 2 24 8 0 0 0x00-- a y y pb
0x1a 24 0 8 8 8 0 0 0 0 0 0x00-- y y y win,pb
$ glmark2-es2-wayland
arm_release_ver of this libmali is 'g6p0-01eac0', rk_so_ver is '6'.
arm_release_ver of this libmali is 'g6p0-01eac0', rk_so_ver is '6'.
=======================================================
glmark2 2021.02
=======================================================
OpenGL Information
GL_VENDOR: ARM
GL_RENDERER: Mali-LODX
GL_VERSION: OpenGL ES 3.2 v1.g6p0-01eac0.ba52c908d926792b8f5fe28f383a2b03
=======================================================
[build] use-vbo=false: FPS: 2872 FrameTime: 0.348 ms
[build] use-vbo=true: FPS: 3909 FrameTime: 0.256 ms
[texture] texture-filter=nearest: FPS: 4280 FrameTime: 0.234 ms
[texture] texture-filter=linear: FPS: 4385 FrameTime: 0.228 ms
[texture] texture-filter=mipmap: FPS: 4379 FrameTime: 0.228 ms
[shading] shading=gouraud: FPS: 3516 FrameTime: 0.284 ms
[shading] shading=blinn-phong-inf: FPS: 3310 FrameTime: 0.302 ms
[shading] shading=phong: FPS: 3268 FrameTime: 0.306 ms
[shading] shading=cel: FPS: 3819 FrameTime: 0.262 ms
[bump] bump-render=high-poly: FPS: 2376 FrameTime: 0.421 ms
[bump] bump-render=normals: FPS: 5207 FrameTime: 0.192 ms
[bump] bump-render=height: FPS: 5019 FrameTime: 0.199 ms
[effect2d] kernel=0,1,0;1,-4,1;0,1,0;: FPS: 4609 FrameTime: 0.217 ms
[effect2d] kernel=1,1,1,1,1;1,1,1,1,1;1,1,1,1,1;: FPS: 2958 FrameTime: 0.338 ms
[pulsar] light=false:quads=5:texture=false: FPS: 4689 FrameTime: 0.213 ms
[desktop] blur-radius=5:effect=blur:passes=1:separable=true:windows=4: FPS: 1535 FrameTime: 0.651 ms
[desktop] effect=shadow:windows=4: FPS: 2799 FrameTime: 0.357 ms
[buffer] columns=200:interleave=false:update-dispersion=0.9:update-fraction=0.5:update-method=map: FPS: 480 FrameTime: 2.083 ms
[buffer] columns=200:interleave=false:update-dispersion=0.9:update-fraction=0.5:update-method=subdata: FPS: 254 FrameTime: 3.937 ms
[buffer] columns=200:interleave=true:update-dispersion=0.9:update-fraction=0.5:update-method=map: FPS: 783 FrameTime: 1.277 ms
[ideas] speed=duration: FPS: 2187 FrameTime: 0.457 ms
[jellyfish] <default>: FPS: 3038 FrameTime: 0.329 ms
[terrain] <default>: FPS: 296 FrameTime: 3.378 ms
[shadow] <default>: FPS: 2961 FrameTime: 0.338 ms
[refract] <default>: FPS: 603 FrameTime: 1.658 ms
[conditionals] fragment-steps=0:vertex-steps=0: FPS: 4445 FrameTime: 0.225 ms
[conditionals] fragment-steps=5:vertex-steps=0: FPS: 4050 FrameTime: 0.247 ms
[conditionals] fragment-steps=0:vertex-steps=5: FPS: 4458 FrameTime: 0.224 ms
[function] fragment-complexity=low:fragment-steps=5: FPS: 4405 FrameTime: 0.227 ms
[function] fragment-complexity=medium:fragment-steps=5: FPS: 4220 FrameTime: 0.237 ms
[loop] fragment-loop=false:fragment-steps=5:vertex-steps=5: FPS: 4102 FrameTime: 0.244 ms
[loop] fragment-steps=5:fragment-uniform=false:vertex-steps=5: FPS: 4097 FrameTime: 0.244 ms
[loop] fragment-steps=5:fragment-uniform=true:vertex-steps=5: FPS: 3868 FrameTime: 0.259 ms
=======================================================
glmark2 Score: 3247
=======================================================single thread @2.35GHz
$ ./mnn_perf
Creating MNN Interpreter: efficientformerv2_s0
The device support i8sdot:1, support fp16:1, support i8mm: 0
(index: 985, score: 11.719067), (index: 644, score: 4.942239), (index: 309, score: 3.837213),
[460 iters] min = 43.29ms max = 44.21ms median = 43.40ms mean = 43.43ms mean = 43.50ms
Creating MNN Interpreter: efficientformerv2_s1
(index: 985, score: 13.267044), (index: 984, score: 4.345684), (index: 308, score: 4.289115),
[297 iters] min = 66.98ms max = 67.81ms median = 67.46ms mean = 67.29ms mean = 67.37ms
Creating MNN Interpreter: efficientformerv2_s2
(index: 985, score: 12.623688), (index: 22, score: 3.934839), (index: 309, score: 3.621716),
[169 iters] min = 118.50ms max = 119.63ms median = 118.70ms mean = 118.73ms mean = 118.81ms
Creating MNN Interpreter: SwiftFormer_XS
(index: 985, score: 11.777544), (index: 883, score: 4.872624), (index: 309, score: 4.720006),
[341 iters] min = 58.51ms max = 58.85ms median = 58.72ms mean = 58.65ms mean = 58.73ms
Creating MNN Interpreter: SwiftFormer_S
(index: 985, score: 13.017500), (index: 720, score: 4.264022), (index: 89, score: 4.236666),
[238 iters] min = 83.97ms max = 84.93ms median = 84.04ms mean = 84.18ms mean = 84.26ms
Creating MNN Interpreter: SwiftFormer_L1
(index: 985, score: 13.600886), (index: 310, score: 4.213074), (index: 309, score: 4.000207),
[154 iters] min = 129.82ms max = 130.35ms median = 129.95ms mean = 130.02ms mean = 130.10ms
Creating MNN Interpreter: EMO_1M
(index: 985, score: 9.835767), (index: 309, score: 4.373718), (index: 310, score: 3.886150),
[528 iters] min = 37.57ms max = 39.51ms median = 38.01ms mean = 37.85ms mean = 37.94ms
Creating MNN Interpreter: EMO_2M
(index: 985, score: 9.492679), (index: 309, score: 3.385825), (index: 308, score: 3.221593),
[349 iters] min = 57.08ms max = 57.50ms median = 57.27ms mean = 57.24ms mean = 57.31ms
Creating MNN Interpreter: EMO_5M
(index: 985, score: 9.188854), (index: 883, score: 2.813967), (index: 872, score: 2.550658),
[205 iters] min = 97.54ms max = 99.52ms median = 97.61ms mean = 97.87ms mean = 97.95ms
Creating MNN Interpreter: EMO_6M
(index: 985, score: 9.295814), (index: 309, score: 2.286917), (index: 308, score: 2.279395),
[193 iters] min = 103.60ms max = 104.42ms median = 103.69ms mean = 103.93ms mean = 104.00ms
Creating MNN Interpreter: edgenext_xx_small
(index: 985, score: 10.561436), (index: 309, score: 5.250808), (index: 310, score: 4.911592),
[624 iters] min = 31.80ms max = 34.05ms median = 31.94ms mean = 31.96ms mean = 32.06ms
Creating MNN Interpreter: edgenext_x_small
(index: 985, score: 9.692823), (index: 309, score: 4.415437), (index: 308, score: 3.541663),
[309 iters] min = 64.35ms max = 65.47ms median = 64.57ms mean = 64.63ms mean = 64.74ms
Creating MNN Interpreter: edgenext_small
(index: 985, score: 12.133100), (index: 309, score: 4.457826), (index: 308, score: 3.973910),
[151 iters] min = 132.18ms max = 134.36ms median = 132.49ms mean = 132.56ms mean = 132.67ms
Creating MNN Interpreter: mobilevitv2_050
(index: 985, score: 8.414263), (index: 309, score: 2.655451), (index: 89, score: 2.475034),
[355 iters] min = 55.91ms max = 57.42ms median = 56.42ms mean = 56.33ms mean = 56.48ms
Creating MNN Interpreter: mobilevitv2_075
(index: 985, score: 8.283899), (index: 309, score: 2.720386), (index: 308, score: 2.143100),
[188 iters] min = 106.38ms max = 107.20ms median = 106.73ms mean = 106.67ms mean = 106.79ms
Creating MNN Interpreter: mobilevitv2_100
(index: 985, score: 8.259032), (index: 557, score: 2.323329), (index: 309, score: 2.103631),
[114 iters] min = 176.01ms max = 176.87ms median = 176.49ms mean = 176.41ms mean = 176.54ms
Creating MNN Interpreter: mobilevitv2_125
(index: 985, score: 8.478145), (index: 309, score: 2.082687), (index: 113, score: 1.427791),
[79 iters] min = 254.01ms max = 255.20ms median = 254.16ms mean = 254.44ms mean = 254.57ms
Creating MNN Interpreter: mobilevitv2_150
(index: 985, score: 9.081184), (index: 308, score: 2.288956), (index: 301, score: 2.262746),
[59 iters] min = 341.40ms max = 342.55ms median = 341.54ms mean = 341.78ms mean = 341.92ms
Creating MNN Interpreter: mobilevitv2_175
(index: 985, score: 8.934433), (index: 494, score: 2.101466), (index: 309, score: 1.884507),
[44 iters] min = 456.83ms max = 458.69ms median = 457.60ms mean = 457.43ms mean = 457.57ms
Creating MNN Interpreter: mobilevitv2_200
(index: 985, score: 8.606405), (index: 309, score: 2.243204), (index: 308, score: 2.195781),
[34 iters] min = 601.82ms max = 603.76ms median = 603.38ms mean = 603.05ms mean = 603.18ms
Creating MNN Interpreter: mobilevit_xx_small
(index: 985, score: 12.430826), (index: 309, score: 6.491026), (index: 308, score: 6.248070),
[387 iters] min = 51.57ms max = 52.08ms median = 51.73ms mean = 51.68ms mean = 51.77ms
Creating MNN Interpreter: mobilevit_x_small
(index: 985, score: 13.045725), (index: 89, score: 6.823128), (index: 309, score: 5.870834),
[156 iters] min = 127.77ms max = 129.32ms median = 128.41ms mean = 128.40ms mean = 128.51ms
Creating MNN Interpreter: mobilevit_small
(index: 985, score: 10.438497), (index: 309, score: 3.711923), (index: 838, score: 3.707543),
[104 iters] min = 191.81ms max = 193.04ms median = 192.51ms mean = 192.46ms mean = 192.58ms
Creating MNN Interpreter: LeViT_128S
(index: 985, score: 11.709261), (index: 308, score: 3.568023), (index: 309, score: 3.375848),
[740 iters] min = 26.86ms max = 28.03ms median = 26.95ms mean = 26.94ms mean = 27.03ms
Creating MNN Interpreter: LeViT_128
(index: 985, score: 11.346600), (index: 309, score: 3.408505), (index: 113, score: 3.297330),
[546 iters] min = 36.49ms max = 36.77ms median = 36.59ms mean = 36.58ms mean = 36.66ms
Creating MNN Interpreter: LeViT_192
(index: 985, score: 11.811327), (index: 324, score: 3.396981), (index: 326, score: 3.303845),
[373 iters] min = 53.42ms max = 55.29ms median = 53.56ms mean = 53.56ms mean = 53.64ms
Creating MNN Interpreter: LeViT_256
(index: 985, score: 11.188659), (index: 108, score: 3.035138), (index: 309, score: 2.935833),
[222 iters] min = 89.93ms max = 91.01ms median = 90.04ms mean = 90.14ms mean = 90.22ms
Creating MNN Interpreter: resnet50
(index: 985, score: 7.986822), (index: 113, score: -5.246409), (index: 310, score: -5.445825),
[86 iters] min = 234.32ms max = 237.49ms median = 234.55ms mean = 234.79ms mean = 234.86ms
Creating MNN Interpreter: mobilenetv3_large_100
(index: 985, score: 9.726589), (index: 310, score: 2.717164), (index: 308, score: 2.388678),
[899 iters] min = 22.08ms max = 22.36ms median = 22.16ms mean = 22.17ms mean = 22.25ms
Creating MNN Interpreter: tf_efficientnetv2_b0
(index: 985, score: 9.735810), (index: 309, score: 2.588191), (index: 310, score: 2.398264),
[366 iters] min = 54.50ms max = 55.69ms median = 54.59ms mean = 54.62ms mean = 54.69ms
Creating MNN Interpreter: tf_efficientnetv2_b1
(index: 985, score: 9.687206), (index: 309, score: 2.282777), (index: 310, score: 2.219707),
[240 iters] min = 83.29ms max = 83.88ms median = 83.51ms mean = 83.50ms mean = 83.59ms
Creating MNN Interpreter: tf_efficientnetv2_b2
(index: 985, score: 10.035254), (index: 883, score: 2.634550), (index: 309, score: 2.177393),
[165 iters] min = 120.59ms max = 123.03ms median = 121.10ms mean = 120.99ms mean = 121.25ms
Creating MNN Interpreter: tf_efficientnetv2_b3
(index: 985, score: 9.174591), (index: 955, score: 2.843929), (index: 310, score: 2.220167),
[95 iters] min = 210.55ms max = 211.86ms median = 210.80ms mean = 210.88ms mean = 211.08ms