Google Pixel 8 Pro
Geekbench AI Score
715
Single Precision Score
710
Half Precision Score
1060
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 02 2025 09:54 PM |
| Views | 5 |
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 | 11.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
482
89.6 IPS |
|
|
Image Classification (HP)
|
100% |
507
94.4 IPS |
|
|
Image Classification (Q)
|
100% |
790
146.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
596
9.67 IPS |
|
|
Image Segmentation (HP)
|
100% |
581
9.42 IPS |
|
|
Image Segmentation (Q)
|
98% |
828
13.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1085
1.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
1086
1.27 IPS |
|
|
Pose Estimation (Q)
|
84% |
2384
2.83 IPS |
|
|
Object Detection (SP)
|
98% |
517
41.1 IPS |
|
|
Object Detection (HP)
|
98% |
483
38.4 IPS |
|
|
Object Detection (Q)
|
83% |
727
58.7 IPS |
|
|
Face Detection (SP)
|
100% |
1171
13.9 IPS |
|
|
Face Detection (HP)
|
100% |
1128
13.4 IPS |
|
|
Face Detection (Q)
|
95% |
1712
20.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
1096
8.47 IPS |
|
|
Depth Estimation (HP)
|
99% |
1109
8.57 IPS |
|
|
Depth Estimation (Q)
|
64% |
1739
15.9 IPS |
|
|
Style Transfer (SP)
|
89% |
2725
3.54 IPS |
|
|
Style Transfer (HP)
|
89% |
2718
3.53 IPS |
|
|
Style Transfer (Q)
|
98% |
4945
6.38 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
539
19.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
526
19.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1185
43.9 IPS |
|
|
Text Classification (SP)
|
100% |
225
300.6 IPS |
|
|
Text Classification (HP)
|
99% |
245
326.8 IPS |
|
|
Text Classification (Q)
|
88% |
357
481.1 IPS |
|
|
Machine Translation (SP)
|
100% |
511
8.80 IPS |
|
|
Machine Translation (HP)
|
100% |
482
8.29 IPS |
|
|
Machine Translation (Q)
|
50% |
255
9.07 IPS |
