Google Pixel 6 Pro
Geekbench AI Score
865
Single Precision Score
844
Half Precision Score
1584
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 19 2024 08:32 AM |
| 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% |
469
87.2 IPS |
|
|
Image Classification (HP)
|
100% |
438
81.5 IPS |
|
|
Image Classification (Q)
|
100% |
1211
225.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
505
8.19 IPS |
|
|
Image Segmentation (HP)
|
100% |
505
8.19 IPS |
|
|
Image Segmentation (Q)
|
98% |
1305
21.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1791
2.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
1705
1.99 IPS |
|
|
Pose Estimation (Q)
|
84% |
2450
2.91 IPS |
|
|
Object Detection (SP)
|
100% |
365
29.0 IPS |
|
|
Object Detection (HP)
|
100% |
373
29.6 IPS |
|
|
Object Detection (Q)
|
83% |
1039
83.9 IPS |
|
|
Face Detection (SP)
|
100% |
1205
14.3 IPS |
|
|
Face Detection (HP)
|
100% |
1171
13.9 IPS |
|
|
Face Detection (Q)
|
95% |
2379
28.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1484
11.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1479
11.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
2279
20.9 IPS |
|
|
Style Transfer (SP)
|
89% |
2716
3.53 IPS |
|
|
Style Transfer (HP)
|
89% |
2680
3.48 IPS |
|
|
Style Transfer (Q)
|
98% |
5608
7.23 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
885
32.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
883
32.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1463
54.2 IPS |
|
|
Text Classification (SP)
|
100% |
497
663.5 IPS |
|
|
Text Classification (HP)
|
100% |
465
620.0 IPS |
|
|
Text Classification (Q)
|
88% |
1045
1.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
717
12.4 IPS |
|
|
Machine Translation (HP)
|
100% |
691
11.9 IPS |
|
|
Machine Translation (Q)
|
50% |
533
18.9 IPS |
