Google Pixel 6 Pro
Geekbench AI Score
896
Single Precision Score
1205
Half Precision Score
1010
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | 46fy45 |
| Upload Date | October 30 2025 07:39 PM |
| Views | 10 |
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% |
593
110.2 IPS |
|
|
Image Classification (HP)
|
100% |
569
105.9 IPS |
|
|
Image Classification (Q)
|
97% |
561
104.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1253
20.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1764
28.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1639
26.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5479
6.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
9746
11.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
9474
11.1 IPS |
|
|
Object Detection (SP)
|
100% |
357
28.3 IPS |
|
|
Object Detection (HP)
|
99% |
514
40.7 IPS |
|
|
Object Detection (Q)
|
83% |
512
41.4 IPS |
|
|
Face Detection (SP)
|
100% |
1914
22.7 IPS |
|
|
Face Detection (HP)
|
100% |
2677
31.8 IPS |
|
|
Face Detection (Q)
|
96% |
2458
29.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3106
23.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
5158
39.9 IPS |
|
|
Depth Estimation (Q)
|
62% |
3572
33.9 IPS |
|
|
Style Transfer (SP)
|
100% |
9396
12.1 IPS |
|
|
Style Transfer (HP)
|
100% |
18228
23.4 IPS |
|
|
Style Transfer (Q)
|
98% |
18466
23.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1133
41.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1967
72.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2020
74.9 IPS |
|
|
Text Classification (SP)
|
35% |
16
148.0 IPS |
|
|
Text Classification (HP)
|
29% |
11
183.0 IPS |
|
|
Text Classification (Q)
|
29% |
11
194.5 IPS |
|
|
Machine Translation (SP)
|
100% |
229
3.95 IPS |
|
|
Machine Translation (HP)
|
100% |
236
4.07 IPS |
|
|
Machine Translation (Q)
|
43% |
69
4.01 IPS |
