Google Pixel 8 Pro
Geekbench AI Score
1531
Single Precision Score
1517
Half Precision Score
2263
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Cecell |
| Upload Date | June 18 2025 11:39 PM |
| Views | 4 |
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% |
1512
281.1 IPS |
|
|
Image Classification (HP)
|
100% |
1371
254.9 IPS |
|
|
Image Classification (Q)
|
100% |
2435
452.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1717
27.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1718
27.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2541
41.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2893
3.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
2611
3.05 IPS |
|
|
Pose Estimation (Q)
|
84% |
4607
5.46 IPS |
|
|
Object Detection (SP)
|
98% |
1002
79.7 IPS |
|
|
Object Detection (HP)
|
98% |
998
79.4 IPS |
|
|
Object Detection (Q)
|
83% |
1462
118.1 IPS |
|
|
Face Detection (SP)
|
100% |
2176
25.9 IPS |
|
|
Face Detection (HP)
|
100% |
2161
25.7 IPS |
|
|
Face Detection (Q)
|
95% |
3351
40.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
1942
15.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2085
16.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
3347
30.7 IPS |
|
|
Style Transfer (SP)
|
89% |
4980
6.46 IPS |
|
|
Style Transfer (HP)
|
89% |
4915
6.38 IPS |
|
|
Style Transfer (Q)
|
98% |
9441
12.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1021
37.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1011
37.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2369
87.8 IPS |
|
|
Text Classification (SP)
|
100% |
445
593.6 IPS |
|
|
Text Classification (HP)
|
99% |
449
599.1 IPS |
|
|
Text Classification (Q)
|
88% |
731
986.1 IPS |
|
|
Machine Translation (SP)
|
100% |
984
17.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1050
18.1 IPS |
|
|
Machine Translation (Q)
|
50% |
462
16.4 IPS |
