Google Pixel 10 Pro XL
Geekbench AI Score
493
Single Precision Score
911
Half Precision Score
4091
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 28 2025 07:22 PM |
| Views | 1 |
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% |
326
60.7 IPS |
|
|
Image Classification (HP)
|
100% |
322
59.8 IPS |
|
|
Image Classification (Q)
|
99% |
4421
824.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
423
6.86 IPS |
|
|
Image Segmentation (HP)
|
100% |
427
6.93 IPS |
|
|
Image Segmentation (Q)
|
98% |
10393
169.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
537
0.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
518
0.60 IPS |
|
|
Pose Estimation (Q)
|
96% |
3657
4.28 IPS |
|
|
Object Detection (SP)
|
100% |
285
22.6 IPS |
|
|
Object Detection (HP)
|
100% |
178
14.1 IPS |
|
|
Object Detection (Q)
|
87% |
2622
210.3 IPS |
|
|
Face Detection (SP)
|
100% |
622
7.39 IPS |
|
|
Face Detection (HP)
|
100% |
747
8.88 IPS |
|
|
Face Detection (Q)
|
97% |
22907
273.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
620
4.78 IPS |
|
|
Depth Estimation (HP)
|
99% |
24888
191.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
36012
331.5 IPS |
|
|
Style Transfer (SP)
|
100% |
984
1.26 IPS |
|
|
Style Transfer (HP)
|
100% |
936
1.20 IPS |
|
|
Style Transfer (Q)
|
98% |
3983
5.14 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
343
12.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8764
323.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
12212
452.5 IPS |
|
|
Text Classification (SP)
|
100% |
489
652.8 IPS |
|
|
Text Classification (HP)
|
100% |
494
659.7 IPS |
|
|
Text Classification (Q)
|
91% |
402
540.8 IPS |
|
|
Machine Translation (SP)
|
100% |
640
11.0 IPS |
|
|
Machine Translation (HP)
|
100% |
416
7.16 IPS |
|
|
Machine Translation (Q)
|
57% |
185
4.52 IPS |
