Google Pixel 6 Pro
Geekbench AI Score
794
Single Precision Score
777
Half Precision Score
1398
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | Auhim |
| Upload Date | August 15 2024 09:39 PM |
| Views | 4 |
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% |
383
71.2 IPS |
|
|
Image Classification (HP)
|
100% |
366
68.1 IPS |
|
|
Image Classification (Q)
|
100% |
1023
190.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
449
7.28 IPS |
|
|
Image Segmentation (HP)
|
100% |
447
7.25 IPS |
|
|
Image Segmentation (Q)
|
98% |
1195
19.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1611
1.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
1577
1.84 IPS |
|
|
Pose Estimation (Q)
|
84% |
2278
2.70 IPS |
|
|
Object Detection (SP)
|
100% |
354
28.1 IPS |
|
|
Object Detection (HP)
|
100% |
355
28.1 IPS |
|
|
Object Detection (Q)
|
87% |
910
73.1 IPS |
|
|
Face Detection (SP)
|
100% |
1105
13.1 IPS |
|
|
Face Detection (HP)
|
100% |
1052
12.5 IPS |
|
|
Face Detection (Q)
|
95% |
2045
24.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1439
11.1 IPS |
|
|
Depth Estimation (HP)
|
100% |
1415
10.9 IPS |
|
|
Depth Estimation (Q)
|
75% |
2349
19.0 IPS |
|
|
Style Transfer (SP)
|
89% |
2552
3.31 IPS |
|
|
Style Transfer (HP)
|
89% |
2620
3.40 IPS |
|
|
Style Transfer (Q)
|
98% |
5199
6.70 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
803
29.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
805
29.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1296
48.0 IPS |
|
|
Text Classification (SP)
|
100% |
428
571.9 IPS |
|
|
Text Classification (HP)
|
100% |
427
569.5 IPS |
|
|
Text Classification (Q)
|
88% |
728
982.1 IPS |
|
|
Machine Translation (SP)
|
100% |
731
12.6 IPS |
|
|
Machine Translation (HP)
|
100% |
660
11.4 IPS |
|
|
Machine Translation (Q)
|
50% |
478
17.0 IPS |
