Google Pixel 10 Pro XL
Geekbench AI Score
475
Single Precision Score
1015
Half Precision Score
4297
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | September 02 2025 05:10 AM |
| 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% |
329
61.2 IPS |
|
|
Image Classification (HP)
|
100% |
333
62.0 IPS |
|
|
Image Classification (Q)
|
99% |
2846
530.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
428
6.93 IPS |
|
|
Image Segmentation (HP)
|
100% |
430
6.97 IPS |
|
|
Image Segmentation (Q)
|
98% |
15333
249.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
549
0.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
525
0.61 IPS |
|
|
Pose Estimation (Q)
|
96% |
3901
4.57 IPS |
|
|
Object Detection (SP)
|
100% |
323
25.6 IPS |
|
|
Object Detection (HP)
|
100% |
326
25.9 IPS |
|
|
Object Detection (Q)
|
87% |
3760
301.6 IPS |
|
|
Face Detection (SP)
|
100% |
725
8.62 IPS |
|
|
Face Detection (HP)
|
100% |
721
8.57 IPS |
|
|
Face Detection (Q)
|
97% |
28991
345.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
586
4.51 IPS |
|
|
Depth Estimation (HP)
|
99% |
25416
195.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
28630
263.6 IPS |
|
|
Style Transfer (SP)
|
100% |
1000
1.29 IPS |
|
|
Style Transfer (HP)
|
100% |
974
1.25 IPS |
|
|
Style Transfer (Q)
|
98% |
3720
4.80 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
327
12.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8937
330.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
12430
460.6 IPS |
|
|
Text Classification (SP)
|
100% |
249
332.0 IPS |
|
|
Text Classification (HP)
|
100% |
425
567.9 IPS |
|
|
Text Classification (Q)
|
91% |
413
555.3 IPS |
|
|
Machine Translation (SP)
|
100% |
688
11.8 IPS |
|
|
Machine Translation (HP)
|
100% |
702
12.1 IPS |
|
|
Machine Translation (Q)
|
57% |
212
5.17 IPS |
