Google Pixel 6 Pro
Geekbench AI Score
850
Single Precision Score
1195
Half Precision Score
1029
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | September 01 2025 05:46 PM |
| Views | 2 |
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% |
353
65.7 IPS |
|
|
Image Classification (HP)
|
100% |
531
98.8 IPS |
|
|
Image Classification (Q)
|
97% |
562
104.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1251
20.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1802
29.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1891
30.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5495
6.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
9482
11.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
9795
11.5 IPS |
|
|
Object Detection (SP)
|
100% |
341
27.1 IPS |
|
|
Object Detection (HP)
|
99% |
512
40.6 IPS |
|
|
Object Detection (Q)
|
83% |
459
37.1 IPS |
|
|
Face Detection (SP)
|
100% |
1790
21.3 IPS |
|
|
Face Detection (HP)
|
100% |
3126
37.1 IPS |
|
|
Face Detection (Q)
|
96% |
2666
31.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3210
24.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
4427
34.2 IPS |
|
|
Depth Estimation (Q)
|
62% |
3448
32.8 IPS |
|
|
Style Transfer (SP)
|
100% |
9366
12.0 IPS |
|
|
Style Transfer (HP)
|
100% |
18357
23.6 IPS |
|
|
Style Transfer (Q)
|
98% |
17935
23.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1234
45.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1953
72.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2031
75.3 IPS |
|
|
Text Classification (SP)
|
35% |
15
140.8 IPS |
|
|
Text Classification (HP)
|
29% |
11
196.9 IPS |
|
|
Text Classification (Q)
|
29% |
12
202.9 IPS |
|
|
Machine Translation (SP)
|
100% |
240
4.13 IPS |
|
|
Machine Translation (HP)
|
100% |
236
4.07 IPS |
|
|
Machine Translation (Q)
|
43% |
70
4.05 IPS |
