Google Pixel 10 Pro XL
Geekbench AI Score
2461
Single Precision Score
2461
Half Precision Score
3692
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 04 2025 11:44 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 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% |
1729
321.6 IPS |
|
|
Image Classification (HP)
|
100% |
1816
337.7 IPS |
|
|
Image Classification (Q)
|
100% |
3371
627.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2231
36.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2289
37.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
4110
66.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4129
4.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
4087
4.77 IPS |
|
|
Pose Estimation (Q)
|
84% |
9694
11.5 IPS |
|
|
Object Detection (SP)
|
98% |
1887
150.2 IPS |
|
|
Object Detection (HP)
|
98% |
1885
150.0 IPS |
|
|
Object Detection (Q)
|
83% |
3091
249.7 IPS |
|
|
Face Detection (SP)
|
100% |
3407
40.5 IPS |
|
|
Face Detection (HP)
|
100% |
3495
41.5 IPS |
|
|
Face Detection (Q)
|
95% |
7496
89.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
3813
29.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3718
28.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
7336
67.2 IPS |
|
|
Style Transfer (SP)
|
89% |
9424
12.2 IPS |
|
|
Style Transfer (HP)
|
89% |
8919
11.6 IPS |
|
|
Style Transfer (Q)
|
98% |
12165
15.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1917
70.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1965
72.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4903
181.7 IPS |
|
|
Text Classification (SP)
|
100% |
808
1.08 KIPS |
|
|
Text Classification (HP)
|
99% |
870
1.16 KIPS |
|
|
Text Classification (Q)
|
88% |
821
1.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
1434
24.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1288
22.2 IPS |
|
|
Machine Translation (Q)
|
50% |
421
14.9 IPS |
