Geekbench ML Score

330
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.6.0 for Android AArch64

Result Information

Upload Date July 19 2024 06:39 AM
Views 2

System Information

System Information
Operating System Android 14
Model samsung SM-X516B
Model IDsamsung SM-X516B
Motherboard s5e8835
Governorenergy_aware
CPU Information
Name ARM ARMv8
Topology 1 Processor, 8 Cores
Identifier ARM implementer 65 architecture 8 variant 1 part 3393 revision 1
Base Frequency 2.00 GHz
Cluster 14 Cores @ 2.00 GHz
Cluster 24 Cores @ 2.40 GHz
Memory Information
Size 7.26 GB
Inference Information
Framework TensorFlow Lite
Backend NNAPI
Device Default

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 125
23.4 IPS
 
Image Classification (F16)
100% 125
23.4 IPS
 
Image Classification (I8)
97% 335
62.8 IPS
 
Image Segmentation (F32)
100% 296
4.95 IPS
 
Image Segmentation (F16)
100% 434
7.24 IPS
 
Image Segmentation (I8)
98% 367
6.13 IPS
 
Pose Estimation (F32)
100% 85
0.10 IPS
 
Pose Estimation (F16)
100% 2377
2.88 IPS
 
Pose Estimation (I8)
100% 850
1.03 IPS
 
Object Detection (F32)
100% 131
9.80 IPS
 
Object Detection (F16)
100% 131
9.81 IPS
 
Object Detection (I8)
61% 373
27.9 IPS
 
Face Detection (F32)
100% 325
3.87 IPS
 
Face Detection (F16)
100% 325
3.87 IPS
 
Face Detection (I8)
86% 736
8.75 IPS
 
Depth Estimation (F32)
100% 274
2.13 IPS
 
Depth Estimation (F16)
100% 275
2.13 IPS
 
Depth Estimation (I8)
95% 795
6.17 IPS
 
Style Transfer (F32)
100% 467
0.61 IPS
 
Style Transfer (F16)
100% 468
0.62 IPS
 
Style Transfer (I8)
98% 1307
1.72 IPS
 
Image Super-Resolution (F32)
100% 76
2.70 IPS
 
Image Super-Resolution (F16)
100% 887
31.7 IPS
 
Image Super-Resolution (I8)
98% 484
17.3 IPS
 
Text Classification (F32)
100% 167
240.6 IPS
 
Text Classification (F16)
100% 166
238.1 IPS
 
Text Classification (I8)
92% 323
464.3 IPS
 
Machine Translation (F32)
100% 304
5.60 IPS
 
Machine Translation (F16)
100% 304
5.59 IPS
 
Machine Translation (I8)
64% 394
7.25 IPS
 

Compare

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