Google Pixel 6 Pro
Geekbench AI Score
511
Single Precision Score
655
Half Precision Score
659
Quantized Score
Geekbench AI 1.0.0 Corporate for Android AArch64
Result Information
| Upload Date | August 11 2024 05:37 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
350
65.0 IPS |
|
|
Image Classification (HP)
|
100% |
443
82.4 IPS |
|
|
Image Classification (Q)
|
97% |
413
77.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
645
10.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
972
15.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
962
15.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
338
0.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
439
0.51 IPS |
|
|
Pose Estimation (Q)
|
96% |
436
0.51 IPS |
|
|
Object Detection (SP)
|
100% |
303
24.0 IPS |
|
|
Object Detection (HP)
|
100% |
378
30.0 IPS |
|
|
Object Detection (Q)
|
92% |
377
30.1 IPS |
|
|
Face Detection (SP)
|
100% |
1485
17.6 IPS |
|
|
Face Detection (HP)
|
100% |
1864
22.2 IPS |
|
|
Face Detection (Q)
|
97% |
1719
20.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
573
4.41 IPS |
|
|
Depth Estimation (HP)
|
99% |
692
5.33 IPS |
|
|
Depth Estimation (Q)
|
72% |
639
5.29 IPS |
|
|
Style Transfer (SP)
|
100% |
1380
1.77 IPS |
|
|
Style Transfer (HP)
|
100% |
2588
3.33 IPS |
|
|
Style Transfer (Q)
|
98% |
2579
3.33 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
379
14.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
559
20.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
571
21.2 IPS |
|
|
Text Classification (SP)
|
100% |
276
368.1 IPS |
|
|
Text Classification (HP)
|
100% |
275
366.6 IPS |
|
|
Text Classification (Q)
|
91% |
485
651.9 IPS |
|
|
Machine Translation (SP)
|
100% |
432
7.45 IPS |
|
|
Machine Translation (HP)
|
100% |
399
6.87 IPS |
|
|
Machine Translation (Q)
|
57% |
304
7.43 IPS |
