Google Pixel 6 Pro
Geekbench AI Score
696
Single Precision Score
692
Half Precision Score
1172
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 09 2025 01:41 AM |
| Views | 2 |
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% |
420
78.2 IPS |
|
|
Image Classification (HP)
|
100% |
389
72.3 IPS |
|
|
Image Classification (Q)
|
100% |
1075
200.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
468
7.59 IPS |
|
|
Image Segmentation (HP)
|
100% |
478
7.74 IPS |
|
|
Image Segmentation (Q)
|
98% |
1276
20.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1703
1.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
1662
1.94 IPS |
|
|
Pose Estimation (Q)
|
84% |
1866
2.21 IPS |
|
|
Object Detection (SP)
|
100% |
290
23.0 IPS |
|
|
Object Detection (HP)
|
100% |
283
22.4 IPS |
|
|
Object Detection (Q)
|
83% |
740
59.8 IPS |
|
|
Face Detection (SP)
|
100% |
874
10.4 IPS |
|
|
Face Detection (HP)
|
100% |
923
11.0 IPS |
|
|
Face Detection (Q)
|
95% |
1594
19.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1178
9.08 IPS |
|
|
Depth Estimation (HP)
|
99% |
1179
9.08 IPS |
|
|
Depth Estimation (Q)
|
64% |
1581
14.5 IPS |
|
|
Style Transfer (SP)
|
89% |
2182
2.83 IPS |
|
|
Style Transfer (HP)
|
89% |
2182
2.83 IPS |
|
|
Style Transfer (Q)
|
98% |
4321
5.57 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
664
24.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
674
24.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1061
39.3 IPS |
|
|
Text Classification (SP)
|
100% |
339
453.1 IPS |
|
|
Text Classification (HP)
|
100% |
338
451.2 IPS |
|
|
Text Classification (Q)
|
88% |
560
755.9 IPS |
|
|
Machine Translation (SP)
|
100% |
544
9.38 IPS |
|
|
Machine Translation (HP)
|
100% |
538
9.27 IPS |
|
|
Machine Translation (Q)
|
50% |
401
14.2 IPS |
