Geekbench ML Score

323
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.6.0 for Android AArch64

Result Information

Upload Date July 13 2024 03:53 PM
Views 1

System Information

System Information
Operating System Android 14
Model vivo I2201
Model IDvivo I2201
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 2.02 GHz
Cluster 14 Cores @ 2.02 GHz
Cluster 23 Cores @ 2.75 GHz
Cluster 31 Core @ 3.19 GHz
Memory Information
Size 7.16 GB
Inference Information
Framework TensorFlow Lite
Backend NNAPI
Device Default

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 139
26.0 IPS
 
Image Classification (F16)
100% 139
25.9 IPS
 
Image Classification (I8)
97% 368
68.9 IPS
 
Image Segmentation (F32)
100% 179
2.98 IPS
 
Image Segmentation (F16)
100% 179
2.98 IPS
 
Image Segmentation (I8)
98% 389
6.50 IPS
 
Pose Estimation (F32)
100% 246
0.30 IPS
 
Pose Estimation (F16)
100% 245
0.30 IPS
 
Pose Estimation (I8)
100% 944
1.14 IPS
 
Object Detection (F32)
100% 145
10.8 IPS
 
Object Detection (F16)
100% 145
10.9 IPS
 
Object Detection (I8)
61% 410
30.6 IPS
 
Face Detection (F32)
100% 369
4.39 IPS
 
Face Detection (F16)
100% 370
4.40 IPS
 
Face Detection (I8)
86% 831
9.87 IPS
 
Depth Estimation (F32)
100% 317
2.46 IPS
 
Depth Estimation (F16)
100% 317
2.46 IPS
 
Depth Estimation (I8)
95% 909
7.05 IPS
 
Style Transfer (F32)
100% 553
0.73 IPS
 
Style Transfer (F16)
100% 552
0.73 IPS
 
Style Transfer (I8)
98% 1467
1.93 IPS
 
Image Super-Resolution (F32)
100% 164
5.85 IPS
 
Image Super-Resolution (F16)
100% 164
5.86 IPS
 
Image Super-Resolution (I8)
98% 582
20.8 IPS
 
Text Classification (F32)
100% 192
275.9 IPS
 
Text Classification (F16)
100% 192
275.9 IPS
 
Text Classification (I8)
92% 344
494.0 IPS
 
Machine Translation (F32)
100% 347
6.38 IPS
 
Machine Translation (F16)
100% 343
6.31 IPS
 
Machine Translation (I8)
64% 434
7.98 IPS
 

Compare

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