Google Pixel 6 Pro
Geekbench AI Score
970
Single Precision Score
962
Half Precision Score
1750
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | September 01 2025 05:55 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% |
1310
243.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
568
9.20 IPS |
|
|
Image Segmentation (HP)
|
100% |
573
9.29 IPS |
|
|
Image Segmentation (Q)
|
98% |
1441
23.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2041
2.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
1981
2.31 IPS |
|
|
Pose Estimation (Q)
|
84% |
2873
3.41 IPS |
|
|
Object Detection (SP)
|
100% |
426
33.8 IPS |
|
|
Object Detection (HP)
|
100% |
425
33.7 IPS |
|
|
Object Detection (Q)
|
83% |
1143
92.3 IPS |
|
|
Face Detection (SP)
|
100% |
1333
15.8 IPS |
|
|
Face Detection (HP)
|
100% |
1329
15.8 IPS |
|
|
Face Detection (Q)
|
95% |
2658
31.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1688
13.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1683
13.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
2620
24.0 IPS |
|
|
Style Transfer (SP)
|
89% |
3075
3.99 IPS |
|
|
Style Transfer (HP)
|
89% |
3060
3.97 IPS |
|
|
Style Transfer (Q)
|
98% |
6385
8.23 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
991
36.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
985
36.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1640
60.8 IPS |
|
|
Text Classification (SP)
|
100% |
552
736.7 IPS |
|
|
Text Classification (HP)
|
100% |
560
747.0 IPS |
|
|
Text Classification (Q)
|
88% |
1055
1.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
796
13.7 IPS |
|
|
Machine Translation (HP)
|
100% |
768
13.2 IPS |
|
|
Machine Translation (Q)
|
50% |
567
20.1 IPS |
