Google Pixel 10 Pro XL
Geekbench AI Score
409
Single Precision Score
870
Half Precision Score
3513
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 21 2025 01:14 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% |
321
59.7 IPS |
|
|
Image Classification (HP)
|
100% |
321
59.7 IPS |
|
|
Image Classification (Q)
|
99% |
2918
544.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
404
6.54 IPS |
|
|
Image Segmentation (HP)
|
100% |
406
6.58 IPS |
|
|
Image Segmentation (Q)
|
98% |
11931
194.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
511
0.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
359
0.42 IPS |
|
|
Pose Estimation (Q)
|
96% |
2582
3.03 IPS |
|
|
Object Detection (SP)
|
100% |
182
14.5 IPS |
|
|
Object Detection (HP)
|
100% |
253
20.1 IPS |
|
|
Object Detection (Q)
|
87% |
2341
187.8 IPS |
|
|
Face Detection (SP)
|
100% |
460
5.46 IPS |
|
|
Face Detection (HP)
|
100% |
616
7.32 IPS |
|
|
Face Detection (Q)
|
97% |
20418
243.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
548
4.22 IPS |
|
|
Depth Estimation (HP)
|
99% |
25569
197.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
31471
289.7 IPS |
|
|
Style Transfer (SP)
|
100% |
819
1.05 IPS |
|
|
Style Transfer (HP)
|
100% |
729
0.94 IPS |
|
|
Style Transfer (Q)
|
98% |
3500
4.51 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
272
10.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8364
308.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
12021
445.4 IPS |
|
|
Text Classification (SP)
|
100% |
386
515.8 IPS |
|
|
Text Classification (HP)
|
100% |
391
522.0 IPS |
|
|
Text Classification (Q)
|
91% |
260
349.2 IPS |
|
|
Machine Translation (SP)
|
100% |
508
8.75 IPS |
|
|
Machine Translation (HP)
|
100% |
565
9.74 IPS |
|
|
Machine Translation (Q)
|
57% |
194
4.75 IPS |
