Google Pixel 10 Pro XL
Geekbench AI Score
493
Single Precision Score
979
Half Precision Score
4111
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 17 2025 12:42 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% |
327
60.8 IPS |
|
|
Image Classification (HP)
|
100% |
328
61.1 IPS |
|
|
Image Classification (Q)
|
99% |
2591
483.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
415
6.73 IPS |
|
|
Image Segmentation (HP)
|
100% |
418
6.78 IPS |
|
|
Image Segmentation (Q)
|
98% |
9918
161.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
509
0.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
459
0.54 IPS |
|
|
Pose Estimation (Q)
|
96% |
3874
4.54 IPS |
|
|
Object Detection (SP)
|
100% |
293
23.2 IPS |
|
|
Object Detection (HP)
|
100% |
268
21.2 IPS |
|
|
Object Detection (Q)
|
87% |
2393
191.9 IPS |
|
|
Face Detection (SP)
|
100% |
616
7.32 IPS |
|
|
Face Detection (HP)
|
100% |
661
7.86 IPS |
|
|
Face Detection (Q)
|
97% |
25308
301.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
633
4.88 IPS |
|
|
Depth Estimation (HP)
|
99% |
27120
208.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
31297
288.1 IPS |
|
|
Style Transfer (SP)
|
100% |
964
1.24 IPS |
|
|
Style Transfer (HP)
|
100% |
957
1.23 IPS |
|
|
Style Transfer (Q)
|
98% |
4123
5.32 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
344
12.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8749
323.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
17619
652.8 IPS |
|
|
Text Classification (SP)
|
100% |
490
653.8 IPS |
|
|
Text Classification (HP)
|
100% |
460
613.7 IPS |
|
|
Text Classification (Q)
|
91% |
281
377.7 IPS |
|
|
Machine Translation (SP)
|
100% |
666
11.5 IPS |
|
|
Machine Translation (HP)
|
100% |
696
12.0 IPS |
|
|
Machine Translation (Q)
|
57% |
358
8.76 IPS |
