Geekbench ML Score

690
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64

Result Information

Upload Date August 14 2023 11:51 AM
Views 1

System Information

System Information
Operating System Android 13
Model Samsung Galaxy S21+ 5G
Model IDsamsung SM-G996N
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 7.00 GB
Inference Information
Framework TensorFlow Lite
Backend NNAPI
Device

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 414
44.4 IPS
 
Image Classification (F16)
100% 355
38.0 IPS
 
Image Classification (I8)
81% 376
40.2 IPS
 
Image Segmentation (F32)
100% 595
3.67 IPS
 
Image Segmentation (F16)
100% 594
3.67 IPS
 
Image Segmentation (I8)
89% 1790
11.1 IPS
 
Pose Estimation (F32)
100% 526
2.13 IPS
 
Pose Estimation (F16)
100% 1843
7.46 IPS
 
Pose Estimation (I8)
80% 1857
7.51 IPS
 
Object Detection (F32)
100% 586
20.6 IPS
 
Object Detection (F16)
99% 917
32.2 IPS
 
Object Detection (I8)
52% 429
15.1 IPS
 
Face Detection (F32)
100% 549
6.31 IPS
 
Face Detection (F16)
100% 546
6.27 IPS
 
Face Detection (I8)
75% 507
5.82 IPS
 
Text Classification (F32)
100% 945
373.8 IPS
 
Text Classification (F16)
100% 948
375.1 IPS
 
Machine Translation (F32)
100% 665
102.5 IPS
 
Machine Translation (F16)
100% 677
104.4 IPS
 

Compare

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