Google Pixel 6 Pro
Geekbench AI Score
818
Single Precision Score
790
Half Precision Score
1389
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | kasid |
| Upload Date | September 03 2025 09:51 PM |
| Views | 7 |
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% |
481
89.5 IPS |
|
|
Image Classification (HP)
|
100% |
428
79.6 IPS |
|
|
Image Classification (Q)
|
100% |
1143
212.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
497
8.05 IPS |
|
|
Image Segmentation (HP)
|
100% |
508
8.23 IPS |
|
|
Image Segmentation (Q)
|
98% |
1356
22.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1827
2.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
1755
2.05 IPS |
|
|
Pose Estimation (Q)
|
84% |
2529
3.00 IPS |
|
|
Object Detection (SP)
|
100% |
383
30.3 IPS |
|
|
Object Detection (HP)
|
100% |
384
30.5 IPS |
|
|
Object Detection (Q)
|
83% |
1101
88.9 IPS |
|
|
Face Detection (SP)
|
100% |
1296
15.4 IPS |
|
|
Face Detection (HP)
|
100% |
1141
13.6 IPS |
|
|
Face Detection (Q)
|
95% |
2136
25.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1423
11.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1185
9.13 IPS |
|
|
Depth Estimation (Q)
|
64% |
1619
14.8 IPS |
|
|
Style Transfer (SP)
|
89% |
2180
2.83 IPS |
|
|
Style Transfer (HP)
|
89% |
2403
3.12 IPS |
|
|
Style Transfer (Q)
|
98% |
4758
6.13 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
739
27.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
751
27.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1179
43.7 IPS |
|
|
Text Classification (SP)
|
100% |
402
535.9 IPS |
|
|
Text Classification (HP)
|
100% |
414
552.5 IPS |
|
|
Text Classification (Q)
|
88% |
712
960.1 IPS |
|
|
Machine Translation (SP)
|
100% |
674
11.6 IPS |
|
|
Machine Translation (HP)
|
100% |
642
11.1 IPS |
|
|
Machine Translation (Q)
|
50% |
451
16.0 IPS |
