Geekbench ML Score

205
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64

Result Information

Upload Date July 17 2024 06:24 PM
Views 1

System Information

System Information
Operating System Android 14
Model Samsung Galaxy S21 FE
Model IDsamsung SM-G990E
Motherboard exynos2100
Governorenergy_step
CPU Information
Name ARM ARMv8
Topology 1 Processor, 8 Cores
Identifier ARM implementer 65 architecture 8 variant 1 part 3396 revision 0
Base Frequency 2.21 GHz
Cluster 14 Cores @ 2.21 GHz
Cluster 23 Cores @ 2.81 GHz
Cluster 31 Core @ 2.91 GHz
Memory Information
Size 7.13 GB
Inference Information
Framework TensorFlow Lite
Backend CPU
Device Default

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 211
39.5 IPS
 
Image Classification (F16)
100% 217
40.7 IPS
 
Image Classification (I8)
97% 68
12.6 IPS
 
Image Segmentation (F32)
100% 171
2.86 IPS
 
Image Segmentation (F16)
100% 171
2.86 IPS
 
Image Segmentation (I8)
98% 198
3.31 IPS
 
Pose Estimation (F32)
100% 447
0.54 IPS
 
Pose Estimation (F16)
100% 416
0.50 IPS
 
Pose Estimation (I8)
100% 1657
2.01 IPS
 
Object Detection (F32)
100% 101
7.56 IPS
 
Object Detection (F16)
100% 74
5.50 IPS
 
Object Detection (I8)
61% 85
6.34 IPS
 
Face Detection (F32)
100% 202
2.40 IPS
 
Face Detection (F16)
100% 205
2.44 IPS
 
Face Detection (I8)
86% 283
3.37 IPS
 
Depth Estimation (F32)
100% 255
1.98 IPS
 
Depth Estimation (F16)
100% 268
2.08 IPS
 
Depth Estimation (I8)
95% 291
2.25 IPS
 
Style Transfer (F32)
100% 909
1.20 IPS
 
Style Transfer (F16)
100% 867
1.14 IPS
 
Style Transfer (I8)
98% 1443
1.90 IPS
 
Image Super-Resolution (F32)
100% 139
4.95 IPS
 
Image Super-Resolution (F16)
100% 146
5.23 IPS
 
Image Super-Resolution (I8)
98% 408
14.6 IPS
 
Text Classification (F32)
100% 232
333.0 IPS
 
Text Classification (F16)
100% 252
362.6 IPS
 
Text Classification (I8)
92% 189
271.4 IPS
 
Machine Translation (F32)
100% 33
0.61 IPS
 
Machine Translation (F16)
100% 26
0.48 IPS
 
Machine Translation (I8)
64% 32
0.59 IPS
 

Compare

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