Google Pixel 10 Pro
Geekbench AI Score
2066
Single Precision Score
2118
Half Precision Score
3276
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 29 2025 07:32 PM |
| Views | 4 |
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% |
1750
325.4 IPS |
|
|
Image Classification (HP)
|
100% |
2089
388.4 IPS |
|
|
Image Classification (Q)
|
100% |
3948
734.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2395
38.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2172
35.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
4170
67.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4212
4.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
4116
4.80 IPS |
|
|
Pose Estimation (Q)
|
84% |
9886
11.7 IPS |
|
|
Object Detection (SP)
|
98% |
1679
133.6 IPS |
|
|
Object Detection (HP)
|
98% |
1683
133.9 IPS |
|
|
Object Detection (Q)
|
83% |
2532
204.5 IPS |
|
|
Face Detection (SP)
|
100% |
3509
41.7 IPS |
|
|
Face Detection (HP)
|
100% |
3405
40.5 IPS |
|
|
Face Detection (Q)
|
95% |
7691
91.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
3586
27.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3168
24.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
4135
37.9 IPS |
|
|
Style Transfer (SP)
|
89% |
4562
5.92 IPS |
|
|
Style Transfer (HP)
|
89% |
6324
8.21 IPS |
|
|
Style Transfer (Q)
|
98% |
8707
11.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1328
49.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1355
50.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3158
117.0 IPS |
|
|
Text Classification (SP)
|
100% |
610
813.7 IPS |
|
|
Text Classification (HP)
|
99% |
619
826.6 IPS |
|
|
Text Classification (Q)
|
88% |
995
1.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
1030
17.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1012
17.4 IPS |
|
|
Machine Translation (Q)
|
50% |
398
14.1 IPS |
