Google Pixel 10 Pro XL
Geekbench AI Score
530
Single Precision Score
1063
Half Precision Score
4096
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Alan156 |
| Upload Date | October 25 2025 06:31 PM |
| Views | 2 |
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% |
334
62.1 IPS |
|
|
Image Classification (HP)
|
100% |
335
62.3 IPS |
|
|
Image Classification (Q)
|
99% |
2376
443.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
427
6.93 IPS |
|
|
Image Segmentation (HP)
|
100% |
430
6.98 IPS |
|
|
Image Segmentation (Q)
|
98% |
11110
180.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
533
0.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
496
0.58 IPS |
|
|
Pose Estimation (Q)
|
96% |
3911
4.58 IPS |
|
|
Object Detection (SP)
|
100% |
328
26.0 IPS |
|
|
Object Detection (HP)
|
100% |
330
26.1 IPS |
|
|
Object Detection (Q)
|
87% |
4020
322.5 IPS |
|
|
Face Detection (SP)
|
100% |
740
8.79 IPS |
|
|
Face Detection (HP)
|
100% |
743
8.83 IPS |
|
|
Face Detection (Q)
|
97% |
23622
281.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
639
4.92 IPS |
|
|
Depth Estimation (HP)
|
99% |
28506
219.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
29396
270.6 IPS |
|
|
Style Transfer (SP)
|
100% |
1025
1.32 IPS |
|
|
Style Transfer (HP)
|
100% |
1018
1.31 IPS |
|
|
Style Transfer (Q)
|
98% |
4267
5.50 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
383
14.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9390
346.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
12356
457.8 IPS |
|
|
Text Classification (SP)
|
100% |
536
715.6 IPS |
|
|
Text Classification (HP)
|
100% |
542
723.2 IPS |
|
|
Text Classification (Q)
|
91% |
434
582.7 IPS |
|
|
Machine Translation (SP)
|
100% |
718
12.4 IPS |
|
|
Machine Translation (HP)
|
100% |
715
12.3 IPS |
|
|
Machine Translation (Q)
|
57% |
202
4.93 IPS |
