Google Pixel 6 Pro
Geekbench AI Score
1083
Single Precision Score
1592
Half Precision Score
1281
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | Lntano |
| Upload Date | July 28 2025 12:23 PM |
| Views | 9 |
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 | powersave |
| 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% |
482
89.7 IPS |
|
|
Image Classification (HP)
|
100% |
824
153.2 IPS |
|
|
Image Classification (Q)
|
97% |
742
138.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1376
22.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2042
33.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1866
30.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5606
6.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
10405
12.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
10012
11.7 IPS |
|
|
Object Detection (SP)
|
100% |
469
37.2 IPS |
|
|
Object Detection (HP)
|
99% |
705
55.9 IPS |
|
|
Object Detection (Q)
|
83% |
674
54.4 IPS |
|
|
Face Detection (SP)
|
100% |
2261
26.9 IPS |
|
|
Face Detection (HP)
|
100% |
3530
41.9 IPS |
|
|
Face Detection (Q)
|
96% |
2877
34.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3400
26.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
5646
43.6 IPS |
|
|
Depth Estimation (Q)
|
62% |
4358
41.4 IPS |
|
|
Style Transfer (SP)
|
100% |
10141
13.0 IPS |
|
|
Style Transfer (HP)
|
100% |
19838
25.5 IPS |
|
|
Style Transfer (Q)
|
98% |
19446
25.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1552
57.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2426
89.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2254
83.5 IPS |
|
|
Text Classification (SP)
|
35% |
27
245.3 IPS |
|
|
Text Classification (HP)
|
29% |
18
315.8 IPS |
|
|
Text Classification (Q)
|
29% |
19
323.3 IPS |
|
|
Machine Translation (SP)
|
100% |
393
6.77 IPS |
|
|
Machine Translation (HP)
|
100% |
492
8.47 IPS |
|
|
Machine Translation (Q)
|
43% |
122
7.07 IPS |
