Google Pixel 10 Pro
Geekbench AI Score
2097
Single Precision Score
2138
Half Precision Score
3017
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 20 2025 04:45 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Google Pixel 10 Pro |
| Model ID | Google Pixel 10 Pro |
| Motherboard | blazer |
| Governor | sched_pixel |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.25 GHz |
| Cluster 1 | 2 Cores @ 2.25 GHz |
| Cluster 2 | 5 Cores @ 3.05 GHz |
| Cluster 3 | 1 Core @ 3.78 GHz |
| Memory Information | |
|---|---|
| Size | 15.18 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1875
348.8 IPS |
|
|
Image Classification (HP)
|
100% |
2119
394.1 IPS |
|
|
Image Classification (Q)
|
100% |
3598
669.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2432
39.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2322
37.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
4296
69.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4240
4.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
4124
4.81 IPS |
|
|
Pose Estimation (Q)
|
84% |
9838
11.7 IPS |
|
|
Object Detection (SP)
|
98% |
1679
133.7 IPS |
|
|
Object Detection (HP)
|
98% |
1667
132.7 IPS |
|
|
Object Detection (Q)
|
83% |
2669
215.6 IPS |
|
|
Face Detection (SP)
|
100% |
3524
41.9 IPS |
|
|
Face Detection (HP)
|
100% |
3347
39.8 IPS |
|
|
Face Detection (Q)
|
95% |
3787
45.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
3596
27.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3198
24.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
5474
50.1 IPS |
|
|
Style Transfer (SP)
|
89% |
5458
7.09 IPS |
|
|
Style Transfer (HP)
|
89% |
6484
8.42 IPS |
|
|
Style Transfer (Q)
|
98% |
8126
10.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1365
50.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1315
48.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3453
128.0 IPS |
|
|
Text Classification (SP)
|
100% |
642
857.1 IPS |
|
|
Text Classification (HP)
|
99% |
626
835.7 IPS |
|
|
Text Classification (Q)
|
88% |
733
988.1 IPS |
|
|
Machine Translation (SP)
|
100% |
836
14.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1033
17.8 IPS |
|
|
Machine Translation (Q)
|
50% |
362
12.9 IPS |
