Google Pixel 6 Pro
Geekbench AI Score
964
Single Precision Score
956
Half Precision Score
1753
Quantized Score
Geekbench AI 1.6.0 Corporate for Android AArch64
Result Information
| Upload Date | December 02 2025 05:56 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Google Tensor |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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 | 11.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
460
85.5 IPS |
|
|
Image Classification (HP)
|
100% |
472
87.7 IPS |
|
|
Image Classification (Q)
|
100% |
1292
240.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
566
9.18 IPS |
|
|
Image Segmentation (HP)
|
100% |
542
8.78 IPS |
|
|
Image Segmentation (Q)
|
98% |
1417
23.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2029
2.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
1975
2.30 IPS |
|
|
Pose Estimation (Q)
|
84% |
2862
3.39 IPS |
|
|
Object Detection (SP)
|
100% |
427
33.9 IPS |
|
|
Object Detection (HP)
|
100% |
423
33.6 IPS |
|
|
Object Detection (Q)
|
83% |
1165
94.1 IPS |
|
|
Face Detection (SP)
|
100% |
1346
16.0 IPS |
|
|
Face Detection (HP)
|
100% |
1330
15.8 IPS |
|
|
Face Detection (Q)
|
95% |
2647
31.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1688
13.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1705
13.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
2642
24.2 IPS |
|
|
Style Transfer (SP)
|
89% |
3153
4.09 IPS |
|
|
Style Transfer (HP)
|
89% |
3125
4.06 IPS |
|
|
Style Transfer (Q)
|
98% |
6446
8.31 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
980
36.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
982
36.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1649
61.1 IPS |
|
|
Text Classification (SP)
|
100% |
543
724.5 IPS |
|
|
Text Classification (HP)
|
100% |
548
730.9 IPS |
|
|
Text Classification (Q)
|
88% |
1052
1.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
808
13.9 IPS |
|
|
Machine Translation (HP)
|
100% |
790
13.6 IPS |
|
|
Machine Translation (Q)
|
50% |
577
20.5 IPS |
