Google Pixel 10 Pro
Geekbench AI Score
2171
Single Precision Score
2032
Half Precision Score
3304
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | 46fy45 |
| Upload Date | October 05 2025 11:50 AM |
| Views | 7 |
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% |
2017
375.1 IPS |
|
|
Image Classification (HP)
|
100% |
2069
384.8 IPS |
|
|
Image Classification (Q)
|
100% |
3898
724.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2046
33.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2113
34.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
3689
60.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4283
5.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
4218
4.92 IPS |
|
|
Pose Estimation (Q)
|
84% |
9948
11.8 IPS |
|
|
Object Detection (SP)
|
98% |
1681
133.8 IPS |
|
|
Object Detection (HP)
|
98% |
1673
133.1 IPS |
|
|
Object Detection (Q)
|
83% |
2759
222.8 IPS |
|
|
Face Detection (SP)
|
100% |
3068
36.5 IPS |
|
|
Face Detection (HP)
|
100% |
3009
35.8 IPS |
|
|
Face Detection (Q)
|
95% |
6612
78.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
3814
29.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3791
29.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
5752
52.7 IPS |
|
|
Style Transfer (SP)
|
89% |
7769
10.1 IPS |
|
|
Style Transfer (HP)
|
89% |
4581
5.95 IPS |
|
|
Style Transfer (Q)
|
98% |
12006
15.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1361
50.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1274
47.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3414
126.5 IPS |
|
|
Text Classification (SP)
|
100% |
626
836.2 IPS |
|
|
Text Classification (HP)
|
99% |
583
778.0 IPS |
|
|
Text Classification (Q)
|
88% |
745
1.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
1011
17.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1005
17.3 IPS |
|
|
Machine Translation (Q)
|
50% |
339
12.0 IPS |
