Google Pixel 10 Pro XL
Geekbench AI Score
2130
Single Precision Score
2123
Half Precision Score
3547
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | September 03 2025 11:01 PM |
| 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 XL |
| Model ID | Google Pixel 10 Pro XL |
| Motherboard | mustang |
| 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% |
1828
340.0 IPS |
|
|
Image Classification (HP)
|
100% |
1990
370.2 IPS |
|
|
Image Classification (Q)
|
100% |
3762
699.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2313
37.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2220
36.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
3597
58.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4033
4.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
4001
4.67 IPS |
|
|
Pose Estimation (Q)
|
84% |
9396
11.1 IPS |
|
|
Object Detection (SP)
|
98% |
1777
141.4 IPS |
|
|
Object Detection (HP)
|
98% |
1835
146.0 IPS |
|
|
Object Detection (Q)
|
83% |
2868
231.6 IPS |
|
|
Face Detection (SP)
|
100% |
3143
37.3 IPS |
|
|
Face Detection (HP)
|
100% |
3255
38.7 IPS |
|
|
Face Detection (Q)
|
95% |
6944
82.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
3098
23.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3308
25.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
6760
61.9 IPS |
|
|
Style Transfer (SP)
|
89% |
5322
6.91 IPS |
|
|
Style Transfer (HP)
|
89% |
5001
6.49 IPS |
|
|
Style Transfer (Q)
|
98% |
14962
19.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1697
62.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1554
57.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3610
133.8 IPS |
|
|
Text Classification (SP)
|
100% |
672
897.2 IPS |
|
|
Text Classification (HP)
|
99% |
675
901.5 IPS |
|
|
Text Classification (Q)
|
88% |
1027
1.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
1075
18.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1020
17.6 IPS |
|
|
Machine Translation (Q)
|
50% |
332
11.8 IPS |
