Google Pixel 10 Pro XL
Geekbench AI Score
449
Single Precision Score
937
Half Precision Score
3910
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | cjpp78 |
| Upload Date | September 17 2025 01:36 AM |
| Views | 3 |
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
61.6 IPS |
|
|
Image Classification (HP)
|
100% |
331
61.6 IPS |
|
|
Image Classification (Q)
|
99% |
2785
519.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
427
6.92 IPS |
|
|
Image Segmentation (HP)
|
100% |
415
6.72 IPS |
|
|
Image Segmentation (Q)
|
98% |
10570
171.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
538
0.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
406
0.47 IPS |
|
|
Pose Estimation (Q)
|
96% |
3456
4.05 IPS |
|
|
Object Detection (SP)
|
100% |
272
21.6 IPS |
|
|
Object Detection (HP)
|
100% |
292
23.2 IPS |
|
|
Object Detection (Q)
|
87% |
4215
338.1 IPS |
|
|
Face Detection (SP)
|
100% |
659
7.83 IPS |
|
|
Face Detection (HP)
|
100% |
640
7.60 IPS |
|
|
Face Detection (Q)
|
97% |
14663
174.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
593
4.57 IPS |
|
|
Depth Estimation (HP)
|
99% |
23921
184.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
37493
345.1 IPS |
|
|
Style Transfer (SP)
|
100% |
870
1.12 IPS |
|
|
Style Transfer (HP)
|
100% |
891
1.15 IPS |
|
|
Style Transfer (Q)
|
98% |
3982
5.13 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
317
11.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9120
336.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
12462
461.8 IPS |
|
|
Text Classification (SP)
|
100% |
247
329.4 IPS |
|
|
Text Classification (HP)
|
100% |
425
566.7 IPS |
|
|
Text Classification (Q)
|
91% |
395
530.7 IPS |
|
|
Machine Translation (SP)
|
100% |
606
10.4 IPS |
|
|
Machine Translation (HP)
|
100% |
610
10.5 IPS |
|
|
Machine Translation (Q)
|
57% |
181
4.43 IPS |
