Geekbench ML Score

1836
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64

Result Information

User Satta
Upload Date January 09 2023 02:53 PM
Views 15

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% 716
76.7 IPS
 
Image Classification (F16)
100% 5766
617.8 IPS
 
Image Classification (I8)
79% 9599
1.03 KIPS
 
Image Segmentation (F32)
100% 1067
6.59 IPS
 
Image Segmentation (F16)
100% 7088
43.8 IPS
 
Image Segmentation (I8)
89% 29678
183.3 IPS
 
Pose Estimation (F32)
100% 875
3.54 IPS
 
Pose Estimation (F16)
80% 5420
21.9 IPS
 
Pose Estimation (I8)
80% 13322
53.9 IPS
 
Object Detection (F32)
100% 610
21.4 IPS
 
Object Detection (F16)
100% 116
4.06 IPS
 
Object Detection (I8)
50% 1857
65.2 IPS
 
Face Detection (F32)
100% 1537
17.7 IPS
 
Face Detection (F16)
100% 512
5.89 IPS
 
Face Detection (I8)
75% 17379
199.7 IPS
 
Text Classification (F32)
100% 198
78.3 IPS
 
Text Classification (F16)
100% 1119
442.5 IPS
 
Machine Translation (F32)
100% 684
105.4 IPS
 
Machine Translation (F16)
100% 679
104.7 IPS
 

Compare

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