Geekbench ML Score

1651
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64

Result Information

Upload Date November 12 2022 02:19 PM
Views 3

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
Device

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 697
74.7 IPS
 
Image Classification (F16)
100% 5181
555.2 IPS
 
Image Classification (I8)
79% 8619
923.5 IPS
 
Image Segmentation (F32)
100% 997
6.16 IPS
 
Image Segmentation (F16)
100% 6070
37.5 IPS
 
Image Segmentation (I8)
89% 25319
156.4 IPS
 
Pose Estimation (F32)
100% 816
3.30 IPS
 
Pose Estimation (F16)
80% 4609
18.6 IPS
 
Pose Estimation (I8)
80% 11384
46.1 IPS
 
Object Detection (F32)
100% 583
20.5 IPS
 
Object Detection (F16)
100% 94
3.30 IPS
 
Object Detection (I8)
50% 1590
55.8 IPS
 
Face Detection (F32)
100% 1569
18.0 IPS
 
Face Detection (F16)
100% 481
5.53 IPS
 
Face Detection (I8)
75% 15442
177.4 IPS
 
Text Classification (F32)
100% 153
60.7 IPS
 
Text Classification (F16)
100% 1089
430.7 IPS
 
Machine Translation (F32)
100% 631
97.3 IPS
 
Machine Translation (F16)
100% 631
97.3 IPS
 

Compare

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