Google Pixel 8 Pro
Geekbench ML Score
861
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | January 21 2024 03:02 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Google Pixel 8 Pro |
| Model ID | Google Pixel 8 Pro |
| Motherboard | husky |
| Governor | sched_pixel |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 4 Cores @ 1.70 GHz |
| Cluster 2 | 4 Cores @ 2.37 GHz |
| Cluster 3 | 1 Core @ 2.91 GHz |
| Memory Information | |
|---|---|
| Size | 11.32 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
308
57.6 IPS |
|
|
Image Classification (F16)
|
100% |
267
50.0 IPS |
|
|
Image Classification (I8)
|
97% |
908
169.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
452
7.55 IPS |
|
|
Image Segmentation (F16)
|
100% |
419
7.00 IPS |
|
|
Image Segmentation (I8)
|
98% |
815
13.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
864
1.05 IPS |
|
|
Pose Estimation (F16)
|
100% |
1079
1.31 IPS |
|
|
Pose Estimation (I8)
|
100% |
5117
6.20 IPS |
|
|
Object Detection (F32)
|
100% |
296
22.1 IPS |
|
|
Object Detection (F16)
|
100% |
442
33.0 IPS |
|
|
Object Detection (I8)
|
61% |
873
65.2 IPS |
|
|
Face Detection (F32)
|
100% |
737
8.77 IPS |
|
|
Face Detection (F16)
|
100% |
753
8.95 IPS |
|
|
Face Detection (I8)
|
86% |
1855
22.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
727
5.63 IPS |
|
|
Depth Estimation (F16)
|
100% |
731
5.67 IPS |
|
|
Depth Estimation (I8)
|
95% |
1883
14.6 IPS |
|
|
Style Transfer (F32)
|
100% |
1682
2.21 IPS |
|
|
Style Transfer (F16)
|
100% |
1891
2.49 IPS |
|
|
Style Transfer (I8)
|
98% |
4016
5.28 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
784
28.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
666
23.8 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
2722
97.2 IPS |
|
|
Text Classification (F32)
|
100% |
449
645.7 IPS |
|
|
Text Classification (F16)
|
100% |
488
700.8 IPS |
|
|
Text Classification (I8)
|
92% |
665
956.0 IPS |
|
|
Machine Translation (F32)
|
100% |
1017
18.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1120
20.6 IPS |
|
|
Machine Translation (I8)
|
64% |
581
10.7 IPS |
