Geekbench ML Score

1688
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64

Result Information

Upload Date October 15 2022 02:24 PM
Views 1

System Information

System Information
Operating System Android 13
Model Google Pixel 6 Pro
Model IDGoogle Pixel 6 Pro
Motherboard raven
Governorsched_pixel
CPU Information
Name ARM ARMv8
Topology 1 Processor, 8 Cores
Identifier ARM implementer 65 architecture 8 variant 1 part 3396 revision 0
Base Frequency 1.80 GHz
Cluster 14 Cores @ 1.80 GHz
Cluster 22 Cores @ 2.25 GHz
Cluster 32 Cores @ 2.80 GHz
Memory Information
Size 11.25 GB
Inference Information
Framework TensorFlow Lite
Backend NNAPI

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 689
73.9 IPS
 
Image Classification (F16)
100% 5200
557.2 IPS
 
Image Classification (I8)
79% 8679
929.9 IPS
 
Image Segmentation (F32)
100% 1071
6.62 IPS
 
Image Segmentation (F16)
100% 6276
38.8 IPS
 
Image Segmentation (I8)
89% 25527
157.7 IPS
 
Pose Estimation (F32)
100% 825
3.34 IPS
 
Pose Estimation (F16)
80% 4589
18.6 IPS
 
Pose Estimation (I8)
80% 11382
46.1 IPS
 
Object Detection (F32)
100% 578
20.3 IPS
 
Object Detection (F16)
100% 97
3.39 IPS
 
Object Detection (I8)
50% 1663
58.4 IPS
 
Face Detection (F32)
100% 1429
16.4 IPS
 
Face Detection (F16)
100% 587
6.75 IPS
 
Face Detection (I8)
75% 15293
175.7 IPS
 
Text Classification (F32)
100% 169
66.9 IPS
 
Text Classification (F16)
100% 1090
431.0 IPS
 
Machine Translation (F32)
100% 644
99.2 IPS
 
Machine Translation (F16)
100% 644
99.3 IPS
 

Compare

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