Google Pixel 10 Pro XL
Geekbench AI Score
527
Single Precision Score
1038
Half Precision Score
4173
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 06 2025 08:53 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% |
329
61.1 IPS |
|
|
Image Classification (HP)
|
100% |
332
61.8 IPS |
|
|
Image Classification (Q)
|
99% |
2948
549.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
427
6.92 IPS |
|
|
Image Segmentation (HP)
|
100% |
429
6.95 IPS |
|
|
Image Segmentation (Q)
|
98% |
11819
192.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
541
0.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
486
0.57 IPS |
|
|
Pose Estimation (Q)
|
96% |
3755
4.40 IPS |
|
|
Object Detection (SP)
|
100% |
319
25.3 IPS |
|
|
Object Detection (HP)
|
100% |
323
25.6 IPS |
|
|
Object Detection (Q)
|
87% |
3923
314.7 IPS |
|
|
Face Detection (SP)
|
100% |
724
8.60 IPS |
|
|
Face Detection (HP)
|
100% |
730
8.67 IPS |
|
|
Face Detection (Q)
|
97% |
21473
256.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
665
5.12 IPS |
|
|
Depth Estimation (HP)
|
99% |
26160
201.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
28320
260.7 IPS |
|
|
Style Transfer (SP)
|
100% |
1013
1.30 IPS |
|
|
Style Transfer (HP)
|
100% |
1001
1.29 IPS |
|
|
Style Transfer (Q)
|
98% |
4249
5.48 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
364
13.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9034
333.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
14466
536.0 IPS |
|
|
Text Classification (SP)
|
100% |
539
720.1 IPS |
|
|
Text Classification (HP)
|
100% |
541
721.9 IPS |
|
|
Text Classification (Q)
|
91% |
454
610.2 IPS |
|
|
Machine Translation (SP)
|
100% |
715
12.3 IPS |
|
|
Machine Translation (HP)
|
100% |
699
12.0 IPS |
|
|
Machine Translation (Q)
|
57% |
184
4.51 IPS |
