Geekbench ML Score

432
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64

Result Information

Upload Date December 09 2022 05:23 AM
Views 2

System Information

System Information
Operating System Android 11
Model samsung SM-T735N
Model IDsamsung SM-T735N
Motherboard lito
Governorschedutil
CPU Information
Name ARM Qualcomm
Topology 1 Processor, 8 Cores
Identifier ARM implementer 65 architecture 8 variant 1 part 3341 revision 0
Base Frequency 1.80 GHz
Cluster 16 Cores @ 1.80 GHz
Cluster 22 Cores @ 2.21 GHz
Memory Information
Size 3.35 GB
Inference Information
Framework TensorFlow Lite
Backend NNAPI

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 372
39.9 IPS
 
Image Classification (F16)
100% 515
55.2 IPS
 
Image Classification (I8)
80% 1247
133.6 IPS
 
Image Segmentation (F32)
100% 557
3.44 IPS
 
Image Segmentation (F16)
100% 675
4.17 IPS
 
Image Segmentation (I8)
89% 3239
20.0 IPS
 
Pose Estimation (F32)
100% 156
0.63 IPS
 
Pose Estimation (F16)
100% 363
1.47 IPS
 
Pose Estimation (I8)
80% 1354
5.48 IPS
 
Object Detection (F32)
100% 317
11.1 IPS
 
Object Detection (F16)
100% 376
13.2 IPS
 
Object Detection (I8)
52% 571
20.0 IPS
 
Face Detection (F32)
100% 443
5.09 IPS
 
Face Detection (F16)
97% 530
6.09 IPS
 
Face Detection (I8)
40% 2255
25.9 IPS
 
Text Classification (F32)
54% 37
14.6 IPS
 
Text Classification (F16)
54% 37
14.6 IPS
 
Machine Translation (F32)
100% 329
50.7 IPS
 
Machine Translation (F16)
100% 338
52.1 IPS
 

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