Google Pixel 6 Pro
Geekbench AI Score
853
Single Precision Score
840
Half Precision Score
1518
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 26 2024 01:07 AM |
| 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% |
470
87.4 IPS |
|
|
Image Classification (HP)
|
100% |
460
85.6 IPS |
|
|
Image Classification (Q)
|
100% |
1251
232.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
527
8.54 IPS |
|
|
Image Segmentation (HP)
|
100% |
541
8.77 IPS |
|
|
Image Segmentation (Q)
|
98% |
1415
23.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1934
2.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
1691
1.97 IPS |
|
|
Pose Estimation (Q)
|
84% |
2468
2.93 IPS |
|
|
Object Detection (SP)
|
100% |
371
29.4 IPS |
|
|
Object Detection (HP)
|
100% |
362
28.7 IPS |
|
|
Object Detection (Q)
|
83% |
1040
84.0 IPS |
|
|
Face Detection (SP)
|
100% |
1193
14.2 IPS |
|
|
Face Detection (HP)
|
100% |
1157
13.7 IPS |
|
|
Face Detection (Q)
|
95% |
2447
29.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1494
11.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1477
11.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
2288
21.0 IPS |
|
|
Style Transfer (SP)
|
89% |
2694
3.50 IPS |
|
|
Style Transfer (HP)
|
89% |
2696
3.50 IPS |
|
|
Style Transfer (Q)
|
98% |
4853
6.26 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
692
25.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
804
29.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1409
52.2 IPS |
|
|
Text Classification (SP)
|
100% |
477
636.8 IPS |
|
|
Text Classification (HP)
|
100% |
479
639.1 IPS |
|
|
Text Classification (Q)
|
88% |
832
1.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
726
12.5 IPS |
|
|
Machine Translation (HP)
|
100% |
651
11.2 IPS |
|
|
Machine Translation (Q)
|
50% |
449
15.9 IPS |
