Google Pixel 8 Pro
Geekbench AI Score
1315
Single Precision Score
1245
Half Precision Score
1901
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 08 2025 10:12 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Google Tensor G3 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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 | 11.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1499
278.8 IPS |
|
|
Image Classification (HP)
|
100% |
1481
275.3 IPS |
|
|
Image Classification (Q)
|
100% |
2316
430.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1638
26.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1608
26.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2504
40.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2545
2.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
1814
2.12 IPS |
|
|
Pose Estimation (Q)
|
84% |
3378
4.01 IPS |
|
|
Object Detection (SP)
|
98% |
697
55.4 IPS |
|
|
Object Detection (HP)
|
98% |
637
50.7 IPS |
|
|
Object Detection (Q)
|
83% |
1001
80.9 IPS |
|
|
Face Detection (SP)
|
100% |
1617
19.2 IPS |
|
|
Face Detection (HP)
|
100% |
1676
19.9 IPS |
|
|
Face Detection (Q)
|
95% |
3329
39.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
1977
15.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2094
16.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
3372
30.9 IPS |
|
|
Style Transfer (SP)
|
89% |
4981
6.47 IPS |
|
|
Style Transfer (HP)
|
89% |
4200
5.45 IPS |
|
|
Style Transfer (Q)
|
98% |
6999
9.02 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
757
28.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
767
28.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1721
63.8 IPS |
|
|
Text Classification (SP)
|
100% |
306
408.3 IPS |
|
|
Text Classification (HP)
|
99% |
310
414.3 IPS |
|
|
Text Classification (Q)
|
88% |
511
689.0 IPS |
|
|
Machine Translation (SP)
|
100% |
964
16.6 IPS |
|
|
Machine Translation (HP)
|
100% |
929
16.0 IPS |
|
|
Machine Translation (Q)
|
50% |
457
16.2 IPS |
