Geekbench ML Score

1721
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64

Result Information

Upload Date November 07 2021 04:31 PM
Views 3

System Information

System Information
Operating System Android 12
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 11.21 GB
Inference Information
Framework TensorFlow Lite
Backend NNAPI
Device

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 667
71.4 IPS
 
Image Classification (F16)
100% 5643
604.6 IPS
 
Image Classification (I8)
79% 9532
1.02 KIPS
 
Image Segmentation (F32)
100% 1173
7.25 IPS
 
Image Segmentation (F16)
100% 258
1.59 IPS
 
Image Segmentation (I8)
89% 25934
160.2 IPS
 
Pose Estimation (F32)
100% 772
3.12 IPS
 
Pose Estimation (F16)
80% 5368
21.7 IPS
 
Pose Estimation (I8)
80% 13369
54.1 IPS
 
Object Detection (F32)
100% 602
21.1 IPS
 
Object Detection (F16)
100% 1577
55.3 IPS
 
Object Detection (I8)
50% 1807
63.4 IPS
 
Face Detection (F32)
100% 1674
19.2 IPS
 
Face Detection (F16)
97% 5754
66.1 IPS
 
Face Detection (I8)
75% 16327
187.6 IPS
 
Text Classification (F32)
100% 183
72.4 IPS
 
Text Classification (F16)
100% 84
33.0 IPS
 
Machine Translation (F32)
100% 686
105.7 IPS
 
Machine Translation (F16)
100% 686
105.7 IPS
 

Compare

Set Baseline Geekbench 6 now available