Google Pixel 10 Pro XL
Geekbench AI Score
466
Single Precision Score
929
Half Precision Score
3495
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 21 2025 03:50 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
60.6 IPS |
|
|
Image Classification (HP)
|
100% |
328
60.9 IPS |
|
|
Image Classification (Q)
|
99% |
5187
967.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
420
6.81 IPS |
|
|
Image Segmentation (HP)
|
100% |
423
6.86 IPS |
|
|
Image Segmentation (Q)
|
98% |
9434
153.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
543
0.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
501
0.58 IPS |
|
|
Pose Estimation (Q)
|
96% |
3491
4.09 IPS |
|
|
Object Detection (SP)
|
100% |
287
22.8 IPS |
|
|
Object Detection (HP)
|
100% |
287
22.8 IPS |
|
|
Object Detection (Q)
|
87% |
2368
190.0 IPS |
|
|
Face Detection (SP)
|
100% |
709
8.43 IPS |
|
|
Face Detection (HP)
|
100% |
706
8.39 IPS |
|
|
Face Detection (Q)
|
97% |
19571
233.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
646
4.98 IPS |
|
|
Depth Estimation (HP)
|
99% |
31844
245.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
27694
254.9 IPS |
|
|
Style Transfer (SP)
|
100% |
939
1.21 IPS |
|
|
Style Transfer (HP)
|
100% |
777
1.00 IPS |
|
|
Style Transfer (Q)
|
98% |
3808
4.91 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
337
12.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7987
294.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
11484
425.5 IPS |
|
|
Text Classification (SP)
|
100% |
248
331.6 IPS |
|
|
Text Classification (HP)
|
100% |
249
332.3 IPS |
|
|
Text Classification (Q)
|
91% |
171
230.2 IPS |
|
|
Machine Translation (SP)
|
100% |
631
10.9 IPS |
|
|
Machine Translation (HP)
|
100% |
696
12.0 IPS |
|
|
Machine Translation (Q)
|
57% |
166
4.07 IPS |
