Google Pixel 6 Pro
Geekbench AI Score
855
Single Precision Score
1208
Half Precision Score
962
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 07 2025 11:25 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Google Tensor |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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% |
363
67.5 IPS |
|
|
Image Classification (HP)
|
100% |
589
109.5 IPS |
|
|
Image Classification (Q)
|
97% |
521
97.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1278
20.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1918
31.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1766
28.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5559
6.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
9579
11.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
9311
10.9 IPS |
|
|
Object Detection (SP)
|
100% |
381
30.2 IPS |
|
|
Object Detection (HP)
|
99% |
526
41.7 IPS |
|
|
Object Detection (Q)
|
83% |
464
37.5 IPS |
|
|
Face Detection (SP)
|
100% |
1804
21.4 IPS |
|
|
Face Detection (HP)
|
100% |
2928
34.8 IPS |
|
|
Face Detection (Q)
|
96% |
2253
26.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2978
22.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
4491
34.7 IPS |
|
|
Depth Estimation (Q)
|
62% |
3464
32.9 IPS |
|
|
Style Transfer (SP)
|
100% |
9399
12.1 IPS |
|
|
Style Transfer (HP)
|
100% |
18577
23.9 IPS |
|
|
Style Transfer (Q)
|
98% |
17783
22.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1173
43.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1955
72.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2000
74.1 IPS |
|
|
Text Classification (SP)
|
35% |
16
143.3 IPS |
|
|
Text Classification (HP)
|
29% |
11
195.3 IPS |
|
|
Text Classification (Q)
|
29% |
11
192.7 IPS |
|
|
Machine Translation (SP)
|
100% |
226
3.89 IPS |
|
|
Machine Translation (HP)
|
100% |
223
3.83 IPS |
|
|
Machine Translation (Q)
|
43% |
56
3.25 IPS |
