Geekbench ML Score

429
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64

Result Information

Upload Date August 13 2022 08:55 PM
Views 2

System Information

System Information
Operating System Android 13
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 7.12 GB
Inference Information
Framework TensorFlow Lite
Backend CPU

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 366
39.2 IPS
 
Image Classification (F16)
100% 345
36.9 IPS
 
Image Classification (I8)
81% 183
19.6 IPS
 
Image Segmentation (F32)
100% 615
3.80 IPS
 
Image Segmentation (F16)
100% 608
3.75 IPS
 
Image Segmentation (I8)
89% 741
4.58 IPS
 
Pose Estimation (F32)
100% 313
1.27 IPS
 
Pose Estimation (F16)
100% 302
1.22 IPS
 
Pose Estimation (I8)
80% 231
0.94 IPS
 
Object Detection (F32)
100% 415
14.6 IPS
 
Object Detection (F16)
100% 431
15.1 IPS
 
Object Detection (I8)
52% 233
8.19 IPS
 
Face Detection (F32)
100% 659
7.57 IPS
 
Face Detection (F16)
100% 650
7.47 IPS
 
Face Detection (I8)
75% 463
5.31 IPS
 
Text Classification (F32)
100% 282
111.5 IPS
 
Text Classification (F16)
100% 335
132.7 IPS
 
Machine Translation (F32)
100% 982
151.3 IPS
 
Machine Translation (F16)
100% 984
151.6 IPS
 

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