Google Pixel 10 Pro
Geekbench AI Score
2170
Single Precision Score
2008
Half Precision Score
3137
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | DTPOI |
| Upload Date | December 20 2025 11:36 AM |
| Views | 5 |
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 | 15.21 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1807
336.0 IPS |
|
|
Image Classification (HP)
|
100% |
1745
324.4 IPS |
|
|
Image Classification (Q)
|
100% |
3979
739.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2339
37.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2260
36.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
4225
68.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4288
5.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
4152
4.84 IPS |
|
|
Pose Estimation (Q)
|
84% |
9760
11.6 IPS |
|
|
Object Detection (SP)
|
98% |
1702
135.4 IPS |
|
|
Object Detection (HP)
|
98% |
1678
133.5 IPS |
|
|
Object Detection (Q)
|
83% |
2665
215.3 IPS |
|
|
Face Detection (SP)
|
100% |
2876
34.2 IPS |
|
|
Face Detection (HP)
|
100% |
2944
35.0 IPS |
|
|
Face Detection (Q)
|
95% |
7396
88.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
3585
27.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3603
27.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
6642
60.8 IPS |
|
|
Style Transfer (SP)
|
89% |
8105
10.5 IPS |
|
|
Style Transfer (HP)
|
89% |
4236
5.50 IPS |
|
|
Style Transfer (Q)
|
98% |
12008
15.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1342
49.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1353
50.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1821
67.5 IPS |
|
|
Text Classification (SP)
|
100% |
636
849.2 IPS |
|
|
Text Classification (HP)
|
99% |
618
825.3 IPS |
|
|
Text Classification (Q)
|
88% |
591
797.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1053
18.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1037
17.9 IPS |
|
|
Machine Translation (Q)
|
50% |
333
11.8 IPS |
