Google Pixel 6 Pro
Geekbench AI Score
859
Single Precision Score
866
Half Precision Score
1596
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 01 2025 02:07 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
479
89.0 IPS |
|
|
Image Classification (HP)
|
100% |
467
86.8 IPS |
|
|
Image Classification (Q)
|
100% |
1259
234.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
553
8.97 IPS |
|
|
Image Segmentation (HP)
|
100% |
541
8.77 IPS |
|
|
Image Segmentation (Q)
|
98% |
1418
23.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1628
1.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
1912
2.23 IPS |
|
|
Pose Estimation (Q)
|
84% |
2446
2.90 IPS |
|
|
Object Detection (SP)
|
100% |
367
29.1 IPS |
|
|
Object Detection (HP)
|
100% |
372
29.5 IPS |
|
|
Object Detection (Q)
|
83% |
1043
84.2 IPS |
|
|
Face Detection (SP)
|
100% |
1188
14.1 IPS |
|
|
Face Detection (HP)
|
100% |
1166
13.9 IPS |
|
|
Face Detection (Q)
|
95% |
2345
28.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1481
11.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1479
11.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
2275
20.8 IPS |
|
|
Style Transfer (SP)
|
89% |
2707
3.51 IPS |
|
|
Style Transfer (HP)
|
89% |
2718
3.53 IPS |
|
|
Style Transfer (Q)
|
98% |
5650
7.29 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
877
32.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
847
31.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1481
54.9 IPS |
|
|
Text Classification (SP)
|
100% |
465
620.3 IPS |
|
|
Text Classification (HP)
|
100% |
484
645.8 IPS |
|
|
Text Classification (Q)
|
88% |
1005
1.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
719
12.4 IPS |
|
|
Machine Translation (HP)
|
100% |
690
11.9 IPS |
|
|
Machine Translation (Q)
|
50% |
526
18.7 IPS |
