Google Pixel 6 Pro
Geekbench AI Score
511
Single Precision Score
490
Half Precision Score
860
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | SHAD0WBULLET707 |
| Upload Date | April 18 2025 08:07 AM |
| Views | 2 |
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 | 11.26 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
276
51.3 IPS |
|
|
Image Classification (HP)
|
100% |
249
46.4 IPS |
|
|
Image Classification (Q)
|
100% |
659
122.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
312
5.05 IPS |
|
|
Image Segmentation (HP)
|
100% |
264
4.28 IPS |
|
|
Image Segmentation (Q)
|
98% |
627
10.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
978
1.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
978
1.14 IPS |
|
|
Pose Estimation (Q)
|
84% |
1465
1.74 IPS |
|
|
Object Detection (SP)
|
100% |
230
18.3 IPS |
|
|
Object Detection (HP)
|
100% |
230
18.2 IPS |
|
|
Object Detection (Q)
|
83% |
565
45.7 IPS |
|
|
Face Detection (SP)
|
100% |
741
8.80 IPS |
|
|
Face Detection (HP)
|
100% |
662
7.87 IPS |
|
|
Face Detection (Q)
|
95% |
1297
15.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
926
7.13 IPS |
|
|
Depth Estimation (HP)
|
99% |
928
7.15 IPS |
|
|
Depth Estimation (Q)
|
64% |
1293
11.8 IPS |
|
|
Style Transfer (SP)
|
89% |
1706
2.21 IPS |
|
|
Style Transfer (HP)
|
89% |
1692
2.20 IPS |
|
|
Style Transfer (Q)
|
98% |
3304
4.26 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
512
18.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
502
18.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
823
30.5 IPS |
|
|
Text Classification (SP)
|
100% |
248
331.4 IPS |
|
|
Text Classification (HP)
|
100% |
246
328.8 IPS |
|
|
Text Classification (Q)
|
88% |
447
602.4 IPS |
|
|
Machine Translation (SP)
|
100% |
427
7.36 IPS |
|
|
Machine Translation (HP)
|
100% |
425
7.32 IPS |
|
|
Machine Translation (Q)
|
50% |
320
11.4 IPS |
