Geekbench ML Score

341
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64

Result Information

Upload Date August 19 2022 09:46 PM
Views 2

System Information

System Information
Operating System Android 12
Model samsung SM-S908B
Model IDsamsung SM-S908B
Motherboard s5e9925
Governorenergy_aware
CPU Information
Name ARM ARMv8
Topology 1 Processor, 8 Cores
Identifier ARM implementer 65 architecture 8 variant 2 part 3400 revision 0
Base Frequency 1.82 GHz
Cluster 14 Cores @ 1.82 GHz
Cluster 23 Cores @ 2.52 GHz
Cluster 31 Core @ 2.80 GHz
Memory Information
Size 10.27 GB
Inference Information
Framework TensorFlow Lite
Backend CPU

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 391
41.9 IPS
 
Image Classification (F16)
100% 172
18.4 IPS
 
Image Classification (I8)
81% 171
18.3 IPS
 
Image Segmentation (F32)
100% 438
2.71 IPS
 
Image Segmentation (F16)
100% 430
2.65 IPS
 
Image Segmentation (I8)
89% 717
4.43 IPS
 
Pose Estimation (F32)
100% 250
1.01 IPS
 
Pose Estimation (F16)
100% 250
1.01 IPS
 
Pose Estimation (I8)
80% 196
0.79 IPS
 
Object Detection (F32)
100% 212
7.43 IPS
 
Object Detection (F16)
100% 217
7.61 IPS
 
Object Detection (I8)
52% 217
7.63 IPS
 
Face Detection (F32)
100% 464
5.33 IPS
 
Face Detection (F16)
100% 457
5.25 IPS
 
Face Detection (I8)
75% 421
4.83 IPS
 
Text Classification (F32)
100% 495
195.8 IPS
 
Text Classification (F16)
100% 326
128.9 IPS
 
Machine Translation (F32)
100% 709
109.2 IPS
 
Machine Translation (F16)
100% 707
109.0 IPS
 

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