Google Pixel 6 Pro
Geekbench AI Score
958
Single Precision Score
967
Half Precision Score
1768
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 13 2025 05:29 PM |
| 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% |
499
92.8 IPS |
|
|
Image Classification (HP)
|
100% |
488
90.7 IPS |
|
|
Image Classification (Q)
|
100% |
1302
242.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
570
9.24 IPS |
|
|
Image Segmentation (HP)
|
100% |
564
9.15 IPS |
|
|
Image Segmentation (Q)
|
98% |
1448
23.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2052
2.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
1985
2.32 IPS |
|
|
Pose Estimation (Q)
|
84% |
2847
3.38 IPS |
|
|
Object Detection (SP)
|
100% |
427
33.8 IPS |
|
|
Object Detection (HP)
|
100% |
425
33.7 IPS |
|
|
Object Detection (Q)
|
83% |
1160
93.7 IPS |
|
|
Face Detection (SP)
|
100% |
1119
13.3 IPS |
|
|
Face Detection (HP)
|
100% |
1355
16.1 IPS |
|
|
Face Detection (Q)
|
95% |
2746
32.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1735
13.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1711
13.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
2624
24.0 IPS |
|
|
Style Transfer (SP)
|
89% |
3095
4.02 IPS |
|
|
Style Transfer (HP)
|
89% |
3098
4.02 IPS |
|
|
Style Transfer (Q)
|
98% |
6448
8.31 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
993
36.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
987
36.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1699
63.0 IPS |
|
|
Text Classification (SP)
|
100% |
547
730.7 IPS |
|
|
Text Classification (HP)
|
100% |
556
742.2 IPS |
|
|
Text Classification (Q)
|
88% |
1058
1.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
802
13.8 IPS |
|
|
Machine Translation (HP)
|
100% |
783
13.5 IPS |
|
|
Machine Translation (Q)
|
50% |
574
20.4 IPS |
