Google Pixel 10 Pro XL
Geekbench AI Score
420
Single Precision Score
891
Half Precision Score
3918
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | AgenttiX |
| Upload Date | October 01 2025 05:32 PM |
| Views | 19 |
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
60.6 IPS |
|
|
Image Classification (HP)
|
100% |
327
60.8 IPS |
|
|
Image Classification (Q)
|
99% |
4232
789.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
391
6.34 IPS |
|
|
Image Segmentation (HP)
|
100% |
395
6.40 IPS |
|
|
Image Segmentation (Q)
|
98% |
10805
175.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
416
0.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
347
0.41 IPS |
|
|
Pose Estimation (Q)
|
96% |
2122
2.49 IPS |
|
|
Object Detection (SP)
|
100% |
252
20.0 IPS |
|
|
Object Detection (HP)
|
100% |
243
19.3 IPS |
|
|
Object Detection (Q)
|
87% |
2736
219.5 IPS |
|
|
Face Detection (SP)
|
100% |
463
5.51 IPS |
|
|
Face Detection (HP)
|
100% |
626
7.44 IPS |
|
|
Face Detection (Q)
|
97% |
23465
279.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
557
4.29 IPS |
|
|
Depth Estimation (HP)
|
99% |
26119
201.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
32576
299.9 IPS |
|
|
Style Transfer (SP)
|
100% |
862
1.11 IPS |
|
|
Style Transfer (HP)
|
100% |
763
0.98 IPS |
|
|
Style Transfer (Q)
|
98% |
3440
4.44 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
203
7.50 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8701
321.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
12942
479.6 IPS |
|
|
Text Classification (SP)
|
100% |
424
565.8 IPS |
|
|
Text Classification (HP)
|
100% |
425
567.2 IPS |
|
|
Text Classification (Q)
|
91% |
349
468.9 IPS |
|
|
Machine Translation (SP)
|
100% |
671
11.6 IPS |
|
|
Machine Translation (HP)
|
100% |
629
10.8 IPS |
|
|
Machine Translation (Q)
|
57% |
271
6.61 IPS |
