Geekbench ML Score

578
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64

Result Information

Upload Date December 09 2022 05:55 AM
Views 2

System Information

System Information
Operating System Android 10
Model Samsung Galaxy Tab S6
Model IDsamsung SM-T860
Motherboard msmnile
Governorschedutil
CPU Information
Name Qualcomm Qualcomm
Topology 1 Processor, 8 Cores
Identifier ARM implementer 81 architecture 8 variant 13 part 2052 revision 14
Base Frequency 1.78 GHz
Cluster 14 Cores @ 1.79 GHz
Cluster 23 Cores @ 2.42 GHz
Cluster 31 Core @ 2.84 GHz
Memory Information
Size 5.32 GB
Inference Information
Framework TensorFlow Lite
Backend NNAPI

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 596
63.9 IPS
 
Image Classification (F16)
100% 775
83.1 IPS
 
Image Classification (I8)
80% 1376
147.4 IPS
 
Image Segmentation (F32)
100% 485
3.00 IPS
 
Image Segmentation (F16)
100% 484
2.99 IPS
 
Image Segmentation (I8)
89% 531
3.28 IPS
 
Pose Estimation (F32)
100% 364
1.47 IPS
 
Pose Estimation (F16)
100% 869
3.52 IPS
 
Pose Estimation (I8)
80% 275
1.11 IPS
 
Object Detection (F32)
100% 647
22.7 IPS
 
Object Detection (F16)
100% 783
27.5 IPS
 
Object Detection (I8)
52% 1059
37.2 IPS
 
Face Detection (F32)
100% 1167
13.4 IPS
 
Face Detection (F16)
100% 1542
17.7 IPS
 
Face Detection (I8)
75% 3555
40.8 IPS
 
Text Classification (F32)
100% 82
32.3 IPS
 
Text Classification (F16)
100% 83
32.9 IPS
 
Machine Translation (F32)
100% 437
67.3 IPS
 
Machine Translation (F16)
100% 439
67.6 IPS
 

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