Geekbench ML Score

307
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64

Result Information

Upload Date April 25 2022 08:21 PM
Views 4

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
Device

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 153
16.4 IPS
 
Image Classification (F16)
100% 144
15.5 IPS
 
Image Classification (I8)
81% 164
17.6 IPS
 
Image Segmentation (F32)
100% 393
2.43 IPS
 
Image Segmentation (F16)
100% 416
2.57 IPS
 
Image Segmentation (I8)
89% 659
4.07 IPS
 
Pose Estimation (F32)
100% 249
1.01 IPS
 
Pose Estimation (F16)
100% 248
1.00 IPS
 
Pose Estimation (I8)
80% 189
0.76 IPS
 
Object Detection (F32)
100% 273
9.56 IPS
 
Object Detection (F16)
100% 219
7.68 IPS
 
Object Detection (I8)
52% 208
7.29 IPS
 
Face Detection (F32)
100% 430
4.94 IPS
 
Face Detection (F16)
100% 442
5.08 IPS
 
Face Detection (I8)
75% 432
4.96 IPS
 
Text Classification (F32)
100% 289
114.2 IPS
 
Text Classification (F16)
100% 291
115.0 IPS
 
Machine Translation (F32)
100% 700
107.8 IPS
 
Machine Translation (F16)
100% 699
107.7 IPS
 

Compare

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