Google Pixel 6 Pro
Geekbench AI Score
877
Single Precision Score
1259
Half Precision Score
1019
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 31 2025 01:17 PM |
| Views | 1 |
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% |
372
69.2 IPS |
|
|
Image Classification (HP)
|
100% |
587
109.1 IPS |
|
|
Image Classification (Q)
|
97% |
577
107.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1325
21.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1878
30.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1718
27.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5529
6.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
9718
11.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
9449
11.1 IPS |
|
|
Object Detection (SP)
|
100% |
352
27.9 IPS |
|
|
Object Detection (HP)
|
99% |
601
47.7 IPS |
|
|
Object Detection (Q)
|
83% |
528
42.6 IPS |
|
|
Face Detection (SP)
|
100% |
1913
22.7 IPS |
|
|
Face Detection (HP)
|
100% |
2906
34.5 IPS |
|
|
Face Detection (Q)
|
96% |
2302
27.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3092
23.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
4593
35.5 IPS |
|
|
Depth Estimation (Q)
|
62% |
3707
35.2 IPS |
|
|
Style Transfer (SP)
|
100% |
9375
12.1 IPS |
|
|
Style Transfer (HP)
|
100% |
18465
23.7 IPS |
|
|
Style Transfer (Q)
|
98% |
17989
23.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1275
47.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2021
74.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2016
74.7 IPS |
|
|
Text Classification (SP)
|
35% |
17
158.9 IPS |
|
|
Text Classification (HP)
|
29% |
12
210.7 IPS |
|
|
Text Classification (Q)
|
29% |
12
208.6 IPS |
|
|
Machine Translation (SP)
|
100% |
234
4.03 IPS |
|
|
Machine Translation (HP)
|
100% |
262
4.51 IPS |
|
|
Machine Translation (Q)
|
43% |
66
3.86 IPS |
