Google Pixel 6 Pro
Geekbench AI Score
775
Single Precision Score
760
Half Precision Score
1286
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 13 2025 12:25 AM |
| Views | 1 |
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% |
458
85.2 IPS |
|
|
Image Classification (HP)
|
100% |
421
78.3 IPS |
|
|
Image Classification (Q)
|
100% |
1146
213.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
500
8.11 IPS |
|
|
Image Segmentation (HP)
|
100% |
495
8.02 IPS |
|
|
Image Segmentation (Q)
|
98% |
1305
21.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1776
2.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
1690
1.97 IPS |
|
|
Pose Estimation (Q)
|
84% |
2064
2.45 IPS |
|
|
Object Detection (SP)
|
100% |
323
25.6 IPS |
|
|
Object Detection (HP)
|
100% |
313
24.8 IPS |
|
|
Object Detection (Q)
|
83% |
741
59.8 IPS |
|
|
Face Detection (SP)
|
100% |
1037
12.3 IPS |
|
|
Face Detection (HP)
|
100% |
1028
12.2 IPS |
|
|
Face Detection (Q)
|
95% |
1741
20.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1318
10.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1321
10.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
1707
15.6 IPS |
|
|
Style Transfer (SP)
|
89% |
2411
3.13 IPS |
|
|
Style Transfer (HP)
|
89% |
2411
3.13 IPS |
|
|
Style Transfer (Q)
|
98% |
4768
6.15 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
743
27.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
740
27.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1180
43.7 IPS |
|
|
Text Classification (SP)
|
100% |
378
505.1 IPS |
|
|
Text Classification (HP)
|
100% |
414
552.1 IPS |
|
|
Text Classification (Q)
|
88% |
711
958.3 IPS |
|
|
Machine Translation (SP)
|
100% |
651
11.2 IPS |
|
|
Machine Translation (HP)
|
100% |
589
10.1 IPS |
|
|
Machine Translation (Q)
|
50% |
455
16.2 IPS |
