Geekbench ML Score

139
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64

Result Information

Upload Date August 06 2022 05:38 AM
Views 1

System Information

System Information
Operating System Android 12
Model Khadas rk3588_s
Model IDKhadas rk3588_s
Motherboard rk30sdk
Governorschedutil
CPU Information
Name ARM ARMv8
Topology 1 Processor, 8 Cores
Identifier ARM implementer 65 architecture 8 variant 4 part 3339 revision 0
Base Frequency 1.80 GHz
Cluster 14 Cores @ 1.80 GHz
Cluster 22 Cores @ 2.26 GHz
Cluster 32 Cores @ 2.30 GHz
Memory Information
Size 7.49 GB
Inference Information
Framework TensorFlow Lite
Backend NNAPI

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 40
4.28 IPS
 
Image Classification (F16)
100% 39
4.21 IPS
 
Image Classification (I8)
81% 185
19.8 IPS
 
Image Segmentation (F32)
100% 191
1.18 IPS
 
Image Segmentation (F16)
100% 186
1.15 IPS
 
Image Segmentation (I8)
89% 341
2.10 IPS
 
Pose Estimation (F32)
100% 138
0.56 IPS
 
Pose Estimation (F16)
100% 108
0.44 IPS
 
Pose Estimation (I8)
80% 53
0.22 IPS
 
Object Detection (F32)
100% 71
2.50 IPS
 
Object Detection (F16)
100% 70
2.46 IPS
 
Object Detection (I8)
52% 224
7.87 IPS
 
Face Detection (F32)
100% 133
1.53 IPS
 
Face Detection (F16)
100% 127
1.46 IPS
 
Face Detection (I8)
75% 255
2.93 IPS
 
Text Classification (F32)
100% 406
160.5 IPS
 
Text Classification (F16)
100% 418
165.4 IPS
 
Machine Translation (F32)
100% 154
23.8 IPS
 
Machine Translation (F16)
100% 156
24.0 IPS
 

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