Google Pixel 10 Pro XL
Geekbench AI Score
462
Single Precision Score
988
Half Precision Score
4134
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Alan156 |
| Upload Date | October 22 2025 10:53 PM |
| Views | 4 |
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% |
331
61.5 IPS |
|
|
Image Classification (HP)
|
100% |
325
60.5 IPS |
|
|
Image Classification (Q)
|
99% |
3008
561.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
411
6.66 IPS |
|
|
Image Segmentation (HP)
|
100% |
404
6.55 IPS |
|
|
Image Segmentation (Q)
|
98% |
10054
163.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
524
0.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
461
0.54 IPS |
|
|
Pose Estimation (Q)
|
96% |
3522
4.13 IPS |
|
|
Object Detection (SP)
|
100% |
288
22.8 IPS |
|
|
Object Detection (HP)
|
100% |
289
22.9 IPS |
|
|
Object Detection (Q)
|
87% |
3925
314.9 IPS |
|
|
Face Detection (SP)
|
100% |
620
7.37 IPS |
|
|
Face Detection (HP)
|
100% |
665
7.90 IPS |
|
|
Face Detection (Q)
|
97% |
26942
321.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
615
4.74 IPS |
|
|
Depth Estimation (HP)
|
99% |
25269
194.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
27553
253.6 IPS |
|
|
Style Transfer (SP)
|
100% |
963
1.24 IPS |
|
|
Style Transfer (HP)
|
100% |
898
1.15 IPS |
|
|
Style Transfer (Q)
|
98% |
3952
5.10 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
342
12.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8781
324.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
12085
447.8 IPS |
|
|
Text Classification (SP)
|
100% |
248
330.9 IPS |
|
|
Text Classification (HP)
|
100% |
544
726.7 IPS |
|
|
Text Classification (Q)
|
91% |
434
583.4 IPS |
|
|
Machine Translation (SP)
|
100% |
702
12.1 IPS |
|
|
Machine Translation (HP)
|
100% |
703
12.1 IPS |
|
|
Machine Translation (Q)
|
57% |
227
5.55 IPS |
