Google Pixel 6 Pro
Geekbench AI Score
489
Single Precision Score
630
Half Precision Score
638
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 16 2025 07:37 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Google Tensor |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
336
62.5 IPS |
|
|
Image Classification (HP)
|
100% |
501
93.1 IPS |
|
|
Image Classification (Q)
|
99% |
408
76.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
694
11.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
989
16.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
899
14.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
342
0.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
436
0.51 IPS |
|
|
Pose Estimation (Q)
|
96% |
433
0.51 IPS |
|
|
Object Detection (SP)
|
100% |
348
27.6 IPS |
|
|
Object Detection (HP)
|
100% |
485
38.5 IPS |
|
|
Object Detection (Q)
|
83% |
444
35.9 IPS |
|
|
Face Detection (SP)
|
100% |
1438
17.1 IPS |
|
|
Face Detection (HP)
|
100% |
1830
21.7 IPS |
|
|
Face Detection (Q)
|
97% |
2005
23.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
544
4.19 IPS |
|
|
Depth Estimation (HP)
|
99% |
655
5.05 IPS |
|
|
Depth Estimation (Q)
|
62% |
549
5.20 IPS |
|
|
Style Transfer (SP)
|
100% |
1444
1.86 IPS |
|
|
Style Transfer (HP)
|
100% |
2581
3.32 IPS |
|
|
Style Transfer (Q)
|
98% |
2566
3.31 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
369
13.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
463
17.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
436
16.2 IPS |
|
|
Text Classification (SP)
|
100% |
205
273.2 IPS |
|
|
Text Classification (HP)
|
100% |
204
272.0 IPS |
|
|
Text Classification (Q)
|
91% |
432
580.3 IPS |
|
|
Machine Translation (SP)
|
100% |
330
5.69 IPS |
|
|
Machine Translation (HP)
|
100% |
322
5.55 IPS |
|
|
Machine Translation (Q)
|
57% |
299
7.31 IPS |
