Google Pixel 10 Pro XL
Geekbench AI Score
2480
Single Precision Score
2296
Half Precision Score
3994
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 11 2025 09:46 PM |
| Views | 3 |
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 | 14.70 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1739
323.4 IPS |
|
|
Image Classification (HP)
|
100% |
1779
330.8 IPS |
|
|
Image Classification (Q)
|
100% |
3446
640.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2308
37.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2148
34.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
4068
66.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3980
4.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
3972
4.63 IPS |
|
|
Pose Estimation (Q)
|
84% |
10009
11.9 IPS |
|
|
Object Detection (SP)
|
98% |
1694
134.8 IPS |
|
|
Object Detection (HP)
|
98% |
1697
135.0 IPS |
|
|
Object Detection (Q)
|
83% |
2742
221.5 IPS |
|
|
Face Detection (SP)
|
100% |
3114
37.0 IPS |
|
|
Face Detection (HP)
|
100% |
3069
36.5 IPS |
|
|
Face Detection (Q)
|
95% |
5877
70.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
3491
27.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3768
29.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
6025
55.2 IPS |
|
|
Style Transfer (SP)
|
89% |
9582
12.4 IPS |
|
|
Style Transfer (HP)
|
89% |
9425
12.2 IPS |
|
|
Style Transfer (Q)
|
98% |
19944
25.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1963
72.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2017
74.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3684
136.5 IPS |
|
|
Text Classification (SP)
|
100% |
967
1.29 KIPS |
|
|
Text Classification (HP)
|
99% |
462
617.1 IPS |
|
|
Text Classification (Q)
|
88% |
1559
2.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
1648
28.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1559
26.9 IPS |
|
|
Machine Translation (Q)
|
50% |
662
23.5 IPS |
