Google Pixel 8 Pro
Geekbench AI Score
675
Single Precision Score
733
Half Precision Score
707
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | PanisSupraOmnia |
| Upload Date | August 22 2024 06:50 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Google Tensor G3 |
| 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 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
366
68.0 IPS |
|
|
Image Classification (HP)
|
100% |
384
71.4 IPS |
|
|
Image Classification (Q)
|
97% |
334
62.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
862
14.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
950
15.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
922
15.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
476
0.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
665
0.78 IPS |
|
|
Pose Estimation (Q)
|
96% |
662
0.77 IPS |
|
|
Object Detection (SP)
|
100% |
300
23.8 IPS |
|
|
Object Detection (HP)
|
100% |
298
23.6 IPS |
|
|
Object Detection (Q)
|
92% |
318
25.4 IPS |
|
|
Face Detection (SP)
|
100% |
1415
16.8 IPS |
|
|
Face Detection (HP)
|
100% |
1251
14.9 IPS |
|
|
Face Detection (Q)
|
97% |
1244
14.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
904
6.97 IPS |
|
|
Depth Estimation (HP)
|
99% |
1087
8.37 IPS |
|
|
Depth Estimation (Q)
|
72% |
1003
8.30 IPS |
|
|
Style Transfer (SP)
|
100% |
2499
3.21 IPS |
|
|
Style Transfer (HP)
|
100% |
3276
4.21 IPS |
|
|
Style Transfer (Q)
|
98% |
3247
4.19 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
523
19.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
552
20.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
513
19.0 IPS |
|
|
Text Classification (SP)
|
100% |
430
574.5 IPS |
|
|
Text Classification (HP)
|
100% |
428
571.8 IPS |
|
|
Text Classification (Q)
|
91% |
629
845.4 IPS |
|
|
Machine Translation (SP)
|
100% |
611
10.5 IPS |
|
|
Machine Translation (HP)
|
100% |
590
10.2 IPS |
|
|
Machine Translation (Q)
|
57% |
370
9.05 IPS |
