Google Pixel 10 Pro XL
Geekbench AI Score
442
Single Precision Score
900
Half Precision Score
3658
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Rock_man77 |
| Upload Date | December 01 2025 04:53 AM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
321
59.7 IPS |
|
|
Image Classification (HP)
|
100% |
318
59.2 IPS |
|
|
Image Classification (Q)
|
99% |
2951
550.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
409
6.62 IPS |
|
|
Image Segmentation (HP)
|
100% |
409
6.63 IPS |
|
|
Image Segmentation (Q)
|
98% |
10208
166.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
510
0.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
511
0.60 IPS |
|
|
Pose Estimation (Q)
|
96% |
3416
4.00 IPS |
|
|
Object Detection (SP)
|
100% |
176
14.0 IPS |
|
|
Object Detection (HP)
|
100% |
292
23.2 IPS |
|
|
Object Detection (Q)
|
87% |
2426
194.6 IPS |
|
|
Face Detection (SP)
|
100% |
659
7.82 IPS |
|
|
Face Detection (HP)
|
100% |
537
6.38 IPS |
|
|
Face Detection (Q)
|
97% |
16306
194.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
638
4.91 IPS |
|
|
Depth Estimation (HP)
|
99% |
24749
190.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
29326
270.0 IPS |
|
|
Style Transfer (SP)
|
100% |
983
1.26 IPS |
|
|
Style Transfer (HP)
|
100% |
919
1.18 IPS |
|
|
Style Transfer (Q)
|
98% |
3961
5.11 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
343
12.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8693
321.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
12204
452.2 IPS |
|
|
Text Classification (SP)
|
100% |
248
331.0 IPS |
|
|
Text Classification (HP)
|
100% |
249
331.7 IPS |
|
|
Text Classification (Q)
|
91% |
304
408.1 IPS |
|
|
Machine Translation (SP)
|
100% |
695
12.0 IPS |
|
|
Machine Translation (HP)
|
100% |
687
11.8 IPS |
|
|
Machine Translation (Q)
|
57% |
245
5.98 IPS |
