Google Pixel 8 Pro
Geekbench AI Score
1493
Single Precision Score
1442
Half Precision Score
1960
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Phantom42 |
| Upload Date | June 11 2025 03:58 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Google Tensor G3 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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 | 10.92 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1497
278.3 IPS |
|
|
Image Classification (HP)
|
100% |
1498
278.5 IPS |
|
|
Image Classification (Q)
|
100% |
2385
443.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1727
28.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1562
25.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2387
38.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2562
2.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
2016
2.35 IPS |
|
|
Pose Estimation (Q)
|
84% |
4477
5.31 IPS |
|
|
Object Detection (SP)
|
98% |
1009
80.3 IPS |
|
|
Object Detection (HP)
|
98% |
1002
79.7 IPS |
|
|
Object Detection (Q)
|
83% |
1463
118.2 IPS |
|
|
Face Detection (SP)
|
100% |
2203
26.2 IPS |
|
|
Face Detection (HP)
|
100% |
2213
26.3 IPS |
|
|
Face Detection (Q)
|
95% |
1663
19.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
1902
14.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2013
15.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
3392
31.1 IPS |
|
|
Style Transfer (SP)
|
89% |
4977
6.46 IPS |
|
|
Style Transfer (HP)
|
89% |
4509
5.85 IPS |
|
|
Style Transfer (Q)
|
98% |
9305
12.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
971
35.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
984
36.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2334
86.5 IPS |
|
|
Text Classification (SP)
|
100% |
434
579.4 IPS |
|
|
Text Classification (HP)
|
99% |
443
591.4 IPS |
|
|
Text Classification (Q)
|
88% |
399
538.1 IPS |
|
|
Machine Translation (SP)
|
100% |
943
16.3 IPS |
|
|
Machine Translation (HP)
|
100% |
943
16.3 IPS |
|
|
Machine Translation (Q)
|
50% |
460
16.3 IPS |
