Geekbench ML Score

1809
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64

Result Information

Upload Date February 15 2023 11:18 AM
Views 2

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% 638
68.3 IPS
 
Image Classification (F16)
100% 5726
613.5 IPS
 
Image Classification (I8)
79% 9885
1.06 KIPS
 
Image Segmentation (F32)
100% 1049
6.48 IPS
 
Image Segmentation (F16)
100% 7028
43.4 IPS
 
Image Segmentation (I8)
89% 29608
182.9 IPS
 
Pose Estimation (F32)
100% 822
3.33 IPS
 
Pose Estimation (F16)
80% 5423
21.9 IPS
 
Pose Estimation (I8)
80% 13490
54.6 IPS
 
Object Detection (F32)
100% 698
24.5 IPS
 
Object Detection (F16)
100% 105
3.67 IPS
 
Object Detection (I8)
50% 1854
65.1 IPS
 
Face Detection (F32)
100% 1457
16.7 IPS
 
Face Detection (F16)
100% 517
5.94 IPS
 
Face Detection (I8)
75% 17437
200.3 IPS
 
Text Classification (F32)
100% 176
69.6 IPS
 
Text Classification (F16)
100% 1122
443.7 IPS
 
Machine Translation (F32)
100% 685
105.6 IPS
 
Machine Translation (F16)
100% 684
105.4 IPS
 

Compare

Set Baseline Geekbench 6 now available