Google Pixel 6 Pro
Geekbench AI Score
835
Single Precision Score
1215
Half Precision Score
984
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Satta |
| Upload Date | September 09 2025 08:37 AM |
| Views | 3 |
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% |
342
63.6 IPS |
|
|
Image Classification (HP)
|
100% |
680
126.5 IPS |
|
|
Image Classification (Q)
|
97% |
596
111.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1279
20.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1776
28.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1660
27.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5457
6.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
9091
10.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
8994
10.5 IPS |
|
|
Object Detection (SP)
|
100% |
339
26.9 IPS |
|
|
Object Detection (HP)
|
99% |
487
38.6 IPS |
|
|
Object Detection (Q)
|
83% |
463
37.4 IPS |
|
|
Face Detection (SP)
|
100% |
1851
22.0 IPS |
|
|
Face Detection (HP)
|
100% |
2690
32.0 IPS |
|
|
Face Detection (Q)
|
96% |
2648
31.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3068
23.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
4256
32.9 IPS |
|
|
Depth Estimation (Q)
|
62% |
3454
32.8 IPS |
|
|
Style Transfer (SP)
|
100% |
9550
12.3 IPS |
|
|
Style Transfer (HP)
|
100% |
18306
23.5 IPS |
|
|
Style Transfer (Q)
|
98% |
17800
23.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1115
41.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1876
69.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1975
73.2 IPS |
|
|
Text Classification (SP)
|
35% |
15
140.6 IPS |
|
|
Text Classification (HP)
|
29% |
11
192.9 IPS |
|
|
Text Classification (Q)
|
29% |
11
198.2 IPS |
|
|
Machine Translation (SP)
|
100% |
227
3.92 IPS |
|
|
Machine Translation (HP)
|
100% |
304
5.24 IPS |
|
|
Machine Translation (Q)
|
43% |
59
3.45 IPS |
