Google Pixel 6 Pro
Geekbench AI Score
893
Single Precision Score
1207
Half Precision Score
982
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | kasid |
| Upload Date | September 03 2025 10:14 PM |
| Views | 12 |
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% |
486
90.5 IPS |
|
|
Image Classification (HP)
|
100% |
513
95.4 IPS |
|
|
Image Classification (Q)
|
97% |
562
105.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1269
20.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1683
27.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1769
28.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5560
6.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
9629
11.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
9525
11.2 IPS |
|
|
Object Detection (SP)
|
100% |
403
32.0 IPS |
|
|
Object Detection (HP)
|
99% |
553
43.8 IPS |
|
|
Object Detection (Q)
|
83% |
475
38.4 IPS |
|
|
Face Detection (SP)
|
100% |
1800
21.4 IPS |
|
|
Face Detection (HP)
|
100% |
2708
32.2 IPS |
|
|
Face Detection (Q)
|
96% |
2456
29.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2984
23.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
4208
32.5 IPS |
|
|
Depth Estimation (Q)
|
62% |
3413
32.4 IPS |
|
|
Style Transfer (SP)
|
100% |
9738
12.5 IPS |
|
|
Style Transfer (HP)
|
100% |
18499
23.8 IPS |
|
|
Style Transfer (Q)
|
98% |
18084
23.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1199
44.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2023
74.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1929
71.5 IPS |
|
|
Text Classification (SP)
|
35% |
16
150.0 IPS |
|
|
Text Classification (HP)
|
29% |
12
206.8 IPS |
|
|
Text Classification (Q)
|
29% |
11
198.1 IPS |
|
|
Machine Translation (SP)
|
100% |
235
4.05 IPS |
|
|
Machine Translation (HP)
|
100% |
279
4.81 IPS |
|
|
Machine Translation (Q)
|
43% |
58
3.35 IPS |
