Google Pixel 6 Pro
Geekbench AI Score
762
Single Precision Score
745
Half Precision Score
1365
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 30 2024 07:07 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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 | 11.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
349
64.8 IPS |
|
|
Image Classification (HP)
|
100% |
369
68.7 IPS |
|
|
Image Classification (Q)
|
100% |
1066
198.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
451
7.30 IPS |
|
|
Image Segmentation (HP)
|
100% |
441
7.15 IPS |
|
|
Image Segmentation (Q)
|
98% |
1141
18.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1632
1.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
1628
1.90 IPS |
|
|
Pose Estimation (Q)
|
84% |
2276
2.70 IPS |
|
|
Object Detection (SP)
|
100% |
321
25.5 IPS |
|
|
Object Detection (HP)
|
100% |
322
25.5 IPS |
|
|
Object Detection (Q)
|
83% |
820
66.2 IPS |
|
|
Face Detection (SP)
|
100% |
1034
12.3 IPS |
|
|
Face Detection (HP)
|
100% |
1109
13.2 IPS |
|
|
Face Detection (Q)
|
95% |
2132
25.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1451
11.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1308
10.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
1966
18.0 IPS |
|
|
Style Transfer (SP)
|
89% |
2549
3.31 IPS |
|
|
Style Transfer (HP)
|
89% |
2396
3.11 IPS |
|
|
Style Transfer (Q)
|
98% |
5144
6.63 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
758
28.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
734
27.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1297
48.1 IPS |
|
|
Text Classification (SP)
|
100% |
411
548.2 IPS |
|
|
Text Classification (HP)
|
100% |
410
547.7 IPS |
|
|
Text Classification (Q)
|
88% |
739
996.9 IPS |
|
|
Machine Translation (SP)
|
100% |
677
11.7 IPS |
|
|
Machine Translation (HP)
|
100% |
598
10.3 IPS |
|
|
Machine Translation (Q)
|
50% |
479
17.0 IPS |
