Geekbench ML Score

394
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64

Result Information

Upload Date July 16 2022 03:12 PM
Views 1

System Information

System Information
Operating System Android 10
Model samsung SM-G965F
Model IDsamsung SM-G965F
Motherboard exynos9810
Governorschedutil
CPU Information
Name ARMv8
Topology 1 Processor, 8 Cores
Identifier ARM implementer 83 architecture 8 variant 1 part 2 revision 0
Base Frequency 1.79 GHz
Cluster 14 Cores @ 1.79 GHz
Cluster 24 Cores @ 2.70 GHz
Memory Information
Size 5.49 GB
Inference Information
Framework TensorFlow Lite
Backend NNAPI

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 435
46.6 IPS
 
Image Classification (F16)
100% 434
46.5 IPS
 
Image Classification (I8)
80% 627
67.1 IPS
 
Image Segmentation (F32)
100% 392
2.42 IPS
 
Image Segmentation (F16)
100% 331
2.04 IPS
 
Image Segmentation (I8)
89% 1056
6.53 IPS
 
Pose Estimation (F32)
100% 426
1.72 IPS
 
Pose Estimation (F16)
100% 428
1.73 IPS
 
Pose Estimation (I8)
80% 283
1.15 IPS
 
Object Detection (F32)
100% 220
7.72 IPS
 
Object Detection (F16)
100% 230
8.08 IPS
 
Object Detection (I8)
53% 383
13.4 IPS
 
Face Detection (F32)
100% 562
6.45 IPS
 
Face Detection (F16)
100% 561
6.45 IPS
 
Face Detection (I8)
75% 933
10.7 IPS
 
Text Classification (F32)
100% 154
61.0 IPS
 
Text Classification (F16)
100% 156
61.6 IPS
 
Machine Translation (F32)
100% 433
66.8 IPS
 
Machine Translation (F16)
100% 419
64.5 IPS
 

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