Google Pixel 6 Pro
Geekbench AI Score
690
Single Precision Score
683
Half Precision Score
1182
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | 46fy45 |
| Upload Date | October 30 2025 07:32 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Google Tensor |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Google Pixel 6 Pro |
| Model ID | Google Pixel 6 Pro |
| Motherboard | raven |
| Governor | sched_pixel |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3396 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.25 GHz |
| Cluster 3 | 2 Cores @ 2.80 GHz |
| Memory Information | |
|---|---|
| Size | 11.26 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
382
71.0 IPS |
|
|
Image Classification (HP)
|
100% |
397
73.8 IPS |
|
|
Image Classification (Q)
|
100% |
1134
210.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
484
7.84 IPS |
|
|
Image Segmentation (HP)
|
100% |
474
7.68 IPS |
|
|
Image Segmentation (Q)
|
98% |
1250
20.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1667
1.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
1590
1.86 IPS |
|
|
Pose Estimation (Q)
|
84% |
1847
2.19 IPS |
|
|
Object Detection (SP)
|
100% |
291
23.1 IPS |
|
|
Object Detection (HP)
|
100% |
291
23.1 IPS |
|
|
Object Detection (Q)
|
83% |
701
56.6 IPS |
|
|
Face Detection (SP)
|
100% |
931
11.1 IPS |
|
|
Face Detection (HP)
|
100% |
897
10.7 IPS |
|
|
Face Detection (Q)
|
95% |
1669
19.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1183
9.11 IPS |
|
|
Depth Estimation (HP)
|
99% |
1184
9.12 IPS |
|
|
Depth Estimation (Q)
|
64% |
1700
15.6 IPS |
|
|
Style Transfer (SP)
|
89% |
2182
2.83 IPS |
|
|
Style Transfer (HP)
|
89% |
2182
2.83 IPS |
|
|
Style Transfer (Q)
|
98% |
4298
5.54 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
677
25.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
654
24.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1062
39.4 IPS |
|
|
Text Classification (SP)
|
100% |
314
418.7 IPS |
|
|
Text Classification (HP)
|
100% |
311
415.6 IPS |
|
|
Text Classification (Q)
|
88% |
578
780.2 IPS |
|
|
Machine Translation (SP)
|
100% |
538
9.27 IPS |
|
|
Machine Translation (HP)
|
100% |
543
9.36 IPS |
|
|
Machine Translation (Q)
|
50% |
388
13.8 IPS |
