Geekbench ML Score

441
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64

Result Information

Upload Date September 26 2022 12:47 PM
Views 1

System Information

System Information
Operating System Android 13
Model OPPO CPH2305
Model IDOPPO CPH2305
Motherboard taro
Governorwalt
CPU Information
Name ARM ARMv8
Topology 1 Processor, 8 Cores
Identifier ARM implementer 65 architecture 8 variant 2 part 3400 revision 0
Base Frequency 1.78 GHz
Cluster 14 Cores @ 1.79 GHz
Cluster 23 Cores @ 2.50 GHz
Cluster 31 Core @ 3.00 GHz
Memory Information
Size 10.92 GB
Inference Information
Framework TensorFlow Lite
Backend NNAPI
Device

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 371
39.8 IPS
 
Image Classification (F16)
100% 371
39.8 IPS
 
Image Classification (I8)
81% 478
51.2 IPS
 
Image Segmentation (F32)
100% 617
3.81 IPS
 
Image Segmentation (F16)
100% 548
3.38 IPS
 
Image Segmentation (I8)
89% 875
5.40 IPS
 
Pose Estimation (F32)
100% 225
0.91 IPS
 
Pose Estimation (F16)
100% 223
0.90 IPS
 
Pose Estimation (I8)
80% 153
0.62 IPS
 
Object Detection (F32)
100% 525
18.4 IPS
 
Object Detection (F16)
100% 88
3.07 IPS
 
Object Detection (I8)
52% 534
18.7 IPS
 
Face Detection (F32)
100% 200
2.30 IPS
 
Face Detection (F16)
100% 221
2.54 IPS
 
Face Detection (I8)
75% 651
7.48 IPS
 
Text Classification (F32)
100% 1221
483.0 IPS
 
Text Classification (F16)
100% 1229
486.3 IPS
 
Machine Translation (F32)
100% 1051
162.0 IPS
 
Machine Translation (F16)
100% 1052
162.1 IPS
 

Compare

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