Google Pixel 6 Pro
Geekbench AI Score
453
Single Precision Score
607
Half Precision Score
607
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | SHAD0WBULLET707 |
| Upload Date | April 18 2025 08:19 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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 | 11.26 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
275
51.2 IPS |
|
|
Image Classification (HP)
|
100% |
448
83.4 IPS |
|
|
Image Classification (Q)
|
99% |
442
82.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
643
10.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
920
14.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
845
13.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
336
0.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
412
0.48 IPS |
|
|
Pose Estimation (Q)
|
96% |
408
0.48 IPS |
|
|
Object Detection (SP)
|
100% |
361
28.6 IPS |
|
|
Object Detection (HP)
|
100% |
489
38.8 IPS |
|
|
Object Detection (Q)
|
83% |
485
39.3 IPS |
|
|
Face Detection (SP)
|
100% |
1368
16.3 IPS |
|
|
Face Detection (HP)
|
100% |
2026
24.1 IPS |
|
|
Face Detection (Q)
|
97% |
1825
21.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
638
4.92 IPS |
|
|
Depth Estimation (HP)
|
99% |
773
5.96 IPS |
|
|
Depth Estimation (Q)
|
62% |
616
5.83 IPS |
|
|
Style Transfer (SP)
|
100% |
1427
1.83 IPS |
|
|
Style Transfer (HP)
|
100% |
2500
3.21 IPS |
|
|
Style Transfer (Q)
|
98% |
2301
2.97 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
408
15.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
595
22.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
584
21.6 IPS |
|
|
Text Classification (SP)
|
100% |
145
193.5 IPS |
|
|
Text Classification (HP)
|
100% |
145
193.8 IPS |
|
|
Text Classification (Q)
|
91% |
339
455.0 IPS |
|
|
Machine Translation (SP)
|
100% |
233
4.02 IPS |
|
|
Machine Translation (HP)
|
100% |
245
4.23 IPS |
|
|
Machine Translation (Q)
|
57% |
181
4.41 IPS |
