Google Pixel 8 Pro
Geekbench AI Score
630
Single Precision Score
788
Half Precision Score
780
Quantized Score
Geekbench AI 1.0.0 Corporate for Android AArch64
Result Information
| Upload Date | August 11 2024 08:40 PM |
| Views | 18 |
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% |
426
79.2 IPS |
|
|
Image Classification (HP)
|
100% |
578
107.5 IPS |
|
|
Image Classification (Q)
|
97% |
510
95.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
631
10.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
807
13.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
804
13.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
458
0.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
674
0.79 IPS |
|
|
Pose Estimation (Q)
|
96% |
667
0.78 IPS |
|
|
Object Detection (SP)
|
100% |
334
26.5 IPS |
|
|
Object Detection (HP)
|
100% |
522
41.4 IPS |
|
|
Object Detection (Q)
|
92% |
545
43.5 IPS |
|
|
Face Detection (SP)
|
100% |
1245
14.8 IPS |
|
|
Face Detection (HP)
|
100% |
1801
21.4 IPS |
|
|
Face Detection (Q)
|
97% |
1818
21.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
864
6.66 IPS |
|
|
Depth Estimation (HP)
|
99% |
1028
7.92 IPS |
|
|
Depth Estimation (Q)
|
72% |
966
8.00 IPS |
|
|
Style Transfer (SP)
|
100% |
2407
3.09 IPS |
|
|
Style Transfer (HP)
|
100% |
2926
3.76 IPS |
|
|
Style Transfer (Q)
|
98% |
2867
3.70 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
438
16.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
489
18.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
474
17.6 IPS |
|
|
Text Classification (SP)
|
100% |
388
518.4 IPS |
|
|
Text Classification (HP)
|
100% |
394
526.0 IPS |
|
|
Text Classification (Q)
|
91% |
600
806.7 IPS |
|
|
Machine Translation (SP)
|
100% |
547
9.43 IPS |
|
|
Machine Translation (HP)
|
100% |
544
9.37 IPS |
|
|
Machine Translation (Q)
|
57% |
391
9.55 IPS |
