Google Pixel 6 Pro
Geekbench AI Score
302
Single Precision Score
1563
Half Precision Score
4911
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 13 2024 07:25 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
207
38.4 IPS |
|
|
Image Classification (HP)
|
100% |
4384
815.3 IPS |
|
|
Image Classification (Q)
|
99% |
6883
1.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
248
4.02 IPS |
|
|
Image Segmentation (HP)
|
100% |
3492
56.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
9617
156.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
315
0.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
16217
18.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
39895
46.7 IPS |
|
|
Object Detection (SP)
|
100% |
180
14.3 IPS |
|
|
Object Detection (HP)
|
100% |
181
14.3 IPS |
|
|
Object Detection (Q)
|
87% |
536
43.0 IPS |
|
|
Face Detection (SP)
|
100% |
442
5.25 IPS |
|
|
Face Detection (HP)
|
100% |
8876
105.5 IPS |
|
|
Face Detection (Q)
|
97% |
16186
193.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
389
3.00 IPS |
|
|
Depth Estimation (HP)
|
99% |
16842
129.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
24057
221.5 IPS |
|
|
Style Transfer (SP)
|
100% |
636
0.82 IPS |
|
|
Style Transfer (HP)
|
100% |
643
0.83 IPS |
|
|
Style Transfer (Q)
|
98% |
3026
3.90 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
190
7.00 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
197
7.29 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
11300
418.7 IPS |
|
|
Text Classification (SP)
|
100% |
249
333.0 IPS |
|
|
Text Classification (HP)
|
100% |
265
353.3 IPS |
|
|
Text Classification (Q)
|
92% |
1558
2.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
430
7.41 IPS |
|
|
Machine Translation (HP)
|
100% |
388
6.68 IPS |
|
|
Machine Translation (Q)
|
57% |
278
6.81 IPS |
