Google Pixel 10 Pro XL
Geekbench AI Score
516
Single Precision Score
1026
Half Precision Score
3880
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 21 2025 02:24 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% |
331
61.6 IPS |
|
|
Image Classification (HP)
|
100% |
334
62.2 IPS |
|
|
Image Classification (Q)
|
99% |
3087
575.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
429
6.96 IPS |
|
|
Image Segmentation (HP)
|
100% |
427
6.92 IPS |
|
|
Image Segmentation (Q)
|
98% |
11275
183.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
545
0.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
534
0.62 IPS |
|
|
Pose Estimation (Q)
|
96% |
3961
4.64 IPS |
|
|
Object Detection (SP)
|
100% |
317
25.1 IPS |
|
|
Object Detection (HP)
|
100% |
323
25.6 IPS |
|
|
Object Detection (Q)
|
87% |
2444
196.1 IPS |
|
|
Face Detection (SP)
|
100% |
722
8.58 IPS |
|
|
Face Detection (HP)
|
100% |
723
8.59 IPS |
|
|
Face Detection (Q)
|
97% |
18978
226.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
606
4.67 IPS |
|
|
Depth Estimation (HP)
|
99% |
25836
199.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
31414
289.2 IPS |
|
|
Style Transfer (SP)
|
100% |
986
1.27 IPS |
|
|
Style Transfer (HP)
|
100% |
968
1.24 IPS |
|
|
Style Transfer (Q)
|
98% |
4105
5.29 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
358
13.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8932
329.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
12283
455.1 IPS |
|
|
Text Classification (SP)
|
100% |
513
685.3 IPS |
|
|
Text Classification (HP)
|
100% |
495
661.2 IPS |
|
|
Text Classification (Q)
|
91% |
407
547.7 IPS |
|
|
Machine Translation (SP)
|
100% |
694
12.0 IPS |
|
|
Machine Translation (HP)
|
100% |
660
11.4 IPS |
|
|
Machine Translation (Q)
|
57% |
188
4.59 IPS |
