Google Pixel 10 Pro
Geekbench AI Score
2050
Single Precision Score
2150
Half Precision Score
3440
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 31 2025 01:10 PM |
| Views | 1 |
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% |
1852
344.4 IPS |
|
|
Image Classification (HP)
|
100% |
2120
394.2 IPS |
|
|
Image Classification (Q)
|
100% |
3542
658.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2413
39.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2418
39.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
4208
68.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2419
2.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
4287
5.00 IPS |
|
|
Pose Estimation (Q)
|
84% |
10026
11.9 IPS |
|
|
Object Detection (SP)
|
98% |
1689
134.4 IPS |
|
|
Object Detection (HP)
|
98% |
1717
136.6 IPS |
|
|
Object Detection (Q)
|
83% |
2746
221.8 IPS |
|
|
Face Detection (SP)
|
100% |
3045
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
3382
40.2 IPS |
|
|
Face Detection (Q)
|
95% |
7382
88.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
3821
29.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3599
27.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
5793
53.1 IPS |
|
|
Style Transfer (SP)
|
89% |
6953
9.03 IPS |
|
|
Style Transfer (HP)
|
89% |
5391
7.00 IPS |
|
|
Style Transfer (Q)
|
98% |
10484
13.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1311
48.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1290
47.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3464
128.4 IPS |
|
|
Text Classification (SP)
|
100% |
639
853.4 IPS |
|
|
Text Classification (HP)
|
99% |
636
848.5 IPS |
|
|
Text Classification (Q)
|
88% |
921
1.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
1061
18.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1041
17.9 IPS |
|
|
Machine Translation (Q)
|
50% |
396
14.0 IPS |
