Geekbench ML Score

1718
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64

Result Information

User nwisecup
Upload Date November 01 2021 02:04 AM
Views 2

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% 715
76.6 IPS
 
Image Classification (F16)
100% 5562
595.9 IPS
 
Image Classification (I8)
79% 9844
1.05 KIPS
 
Image Segmentation (F32)
100% 1185
7.32 IPS
 
Image Segmentation (F16)
100% 259
1.60 IPS
 
Image Segmentation (I8)
89% 25631
158.3 IPS
 
Pose Estimation (F32)
100% 710
2.87 IPS
 
Pose Estimation (F16)
80% 5403
21.9 IPS
 
Pose Estimation (I8)
80% 13423
54.3 IPS
 
Object Detection (F32)
100% 596
20.9 IPS
 
Object Detection (F16)
100% 1571
55.1 IPS
 
Object Detection (I8)
50% 1823
64.0 IPS
 
Face Detection (F32)
100% 1704
19.6 IPS
 
Face Detection (F16)
97% 5657
65.0 IPS
 
Face Detection (I8)
75% 16924
194.4 IPS
 
Text Classification (F32)
100% 163
64.4 IPS
 
Text Classification (F16)
100% 84
33.1 IPS
 
Machine Translation (F32)
100% 686
105.7 IPS
 
Machine Translation (F16)
100% 707
108.9 IPS
 

Compare

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