Google Pixel 6 Pro
Geekbench AI Score
823
Single Precision Score
827
Half Precision Score
1554
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | hermeschen1116 |
| Upload Date | October 10 2024 10:26 AM |
| Views | 9 |
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% |
372
69.2 IPS |
|
|
Image Classification (HP)
|
100% |
361
67.2 IPS |
|
|
Image Classification (Q)
|
100% |
1055
196.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
458
7.43 IPS |
|
|
Image Segmentation (HP)
|
100% |
468
7.59 IPS |
|
|
Image Segmentation (Q)
|
98% |
1267
20.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1542
1.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
1686
1.97 IPS |
|
|
Pose Estimation (Q)
|
84% |
2481
2.94 IPS |
|
|
Object Detection (SP)
|
100% |
376
29.8 IPS |
|
|
Object Detection (HP)
|
100% |
376
29.9 IPS |
|
|
Object Detection (Q)
|
83% |
1054
85.2 IPS |
|
|
Face Detection (SP)
|
100% |
1169
13.9 IPS |
|
|
Face Detection (HP)
|
100% |
1176
14.0 IPS |
|
|
Face Detection (Q)
|
95% |
2415
28.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1465
11.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1454
11.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
2312
21.2 IPS |
|
|
Style Transfer (SP)
|
89% |
2671
3.47 IPS |
|
|
Style Transfer (HP)
|
89% |
2701
3.51 IPS |
|
|
Style Transfer (Q)
|
98% |
5705
7.36 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
854
31.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
857
31.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1534
56.9 IPS |
|
|
Text Classification (SP)
|
100% |
509
678.7 IPS |
|
|
Text Classification (HP)
|
100% |
514
686.3 IPS |
|
|
Text Classification (Q)
|
88% |
1014
1.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
730
12.6 IPS |
|
|
Machine Translation (HP)
|
100% |
692
11.9 IPS |
|
|
Machine Translation (Q)
|
50% |
476
16.9 IPS |
