Google Pixel 6 Pro
Geekbench AI Score
827
Single Precision Score
802
Half Precision Score
1483
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | MrTom |
| Upload Date | August 29 2025 08:16 PM |
| Views | 7 |
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% |
446
83.0 IPS |
|
|
Image Classification (HP)
|
100% |
437
81.2 IPS |
|
|
Image Classification (Q)
|
100% |
1192
221.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
517
8.38 IPS |
|
|
Image Segmentation (HP)
|
100% |
522
8.46 IPS |
|
|
Image Segmentation (Q)
|
98% |
1314
21.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1798
2.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
1554
1.81 IPS |
|
|
Pose Estimation (Q)
|
84% |
2298
2.73 IPS |
|
|
Object Detection (SP)
|
100% |
350
27.8 IPS |
|
|
Object Detection (HP)
|
100% |
346
27.5 IPS |
|
|
Object Detection (Q)
|
83% |
949
76.7 IPS |
|
|
Face Detection (SP)
|
100% |
1147
13.6 IPS |
|
|
Face Detection (HP)
|
100% |
1101
13.1 IPS |
|
|
Face Detection (Q)
|
95% |
2168
25.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1382
10.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1361
10.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
2114
19.4 IPS |
|
|
Style Transfer (SP)
|
89% |
2539
3.30 IPS |
|
|
Style Transfer (HP)
|
89% |
2545
3.30 IPS |
|
|
Style Transfer (Q)
|
98% |
5185
6.69 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
810
29.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
809
29.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1359
50.3 IPS |
|
|
Text Classification (SP)
|
100% |
477
636.6 IPS |
|
|
Text Classification (HP)
|
100% |
455
608.0 IPS |
|
|
Text Classification (Q)
|
88% |
951
1.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
667
11.5 IPS |
|
|
Machine Translation (HP)
|
100% |
647
11.1 IPS |
|
|
Machine Translation (Q)
|
50% |
493
17.5 IPS |
