Geekbench ML Score

325
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64

Result Information

Upload Date August 03 2022 10:28 AM
Views 1

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% 242
25.9 IPS
 
Image Classification (F16)
100% 161
17.3 IPS
 
Image Classification (I8)
81% 163
17.5 IPS
 
Image Segmentation (F32)
100% 413
2.55 IPS
 
Image Segmentation (F16)
100% 486
3.00 IPS
 
Image Segmentation (I8)
89% 685
4.23 IPS
 
Pose Estimation (F32)
100% 251
1.02 IPS
 
Pose Estimation (F16)
100% 239
0.97 IPS
 
Pose Estimation (I8)
80% 193
0.78 IPS
 
Object Detection (F32)
100% 207
7.27 IPS
 
Object Detection (F16)
100% 279
9.81 IPS
 
Object Detection (I8)
52% 210
7.37 IPS
 
Face Detection (F32)
100% 496
5.70 IPS
 
Face Detection (F16)
100% 435
4.99 IPS
 
Face Detection (I8)
75% 403
4.63 IPS
 
Text Classification (F32)
100% 315
124.6 IPS
 
Text Classification (F16)
100% 362
143.2 IPS
 
Machine Translation (F32)
100% 632
97.4 IPS
 
Machine Translation (F16)
100% 701
108.1 IPS
 

Compare

Set Baseline