Google Pixel 8 Pro
Geekbench AI Score
1538
Single Precision Score
1518
Half Precision Score
2324
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 08 2025 11:24 PM |
| Views | 6 |
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 | 10.94 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1524
283.5 IPS |
|
|
Image Classification (HP)
|
100% |
1500
279.0 IPS |
|
|
Image Classification (Q)
|
100% |
2555
475.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1765
28.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1739
28.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2797
45.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2672
3.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
2475
2.89 IPS |
|
|
Pose Estimation (Q)
|
84% |
5629
6.68 IPS |
|
|
Object Detection (SP)
|
98% |
1095
87.1 IPS |
|
|
Object Detection (HP)
|
98% |
1085
86.3 IPS |
|
|
Object Detection (Q)
|
83% |
1480
119.6 IPS |
|
|
Face Detection (SP)
|
100% |
2184
26.0 IPS |
|
|
Face Detection (HP)
|
100% |
2220
26.4 IPS |
|
|
Face Detection (Q)
|
95% |
3147
37.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
1986
15.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2054
15.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
3400
31.1 IPS |
|
|
Style Transfer (SP)
|
89% |
5057
6.56 IPS |
|
|
Style Transfer (HP)
|
89% |
5047
6.55 IPS |
|
|
Style Transfer (Q)
|
98% |
9561
12.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1011
37.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
992
36.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2298
85.2 IPS |
|
|
Text Classification (SP)
|
100% |
446
595.7 IPS |
|
|
Text Classification (HP)
|
99% |
437
583.0 IPS |
|
|
Text Classification (Q)
|
88% |
733
988.5 IPS |
|
|
Machine Translation (SP)
|
100% |
953
16.4 IPS |
|
|
Machine Translation (HP)
|
100% |
934
16.1 IPS |
|
|
Machine Translation (Q)
|
50% |
449
15.9 IPS |
