Google Pixel 10 Pro XL
Geekbench AI Score
534
Single Precision Score
1057
Half Precision Score
3656
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | gnu08 |
| Upload Date | March 10 2026 09:07 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Google Tensor G5 |
| 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 | 15.21 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
332
61.7 IPS |
|
|
Image Classification (HP)
|
100% |
335
62.2 IPS |
|
|
Image Classification (Q)
|
99% |
2477
461.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
427
6.92 IPS |
|
|
Image Segmentation (HP)
|
100% |
430
6.97 IPS |
|
|
Image Segmentation (Q)
|
98% |
10381
168.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
556
0.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
536
0.63 IPS |
|
|
Pose Estimation (Q)
|
96% |
3949
4.63 IPS |
|
|
Object Detection (SP)
|
100% |
327
26.0 IPS |
|
|
Object Detection (HP)
|
100% |
329
26.1 IPS |
|
|
Object Detection (Q)
|
87% |
2418
194.0 IPS |
|
|
Face Detection (SP)
|
100% |
737
8.76 IPS |
|
|
Face Detection (HP)
|
100% |
743
8.83 IPS |
|
|
Face Detection (Q)
|
97% |
21837
260.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
667
5.14 IPS |
|
|
Depth Estimation (HP)
|
99% |
25999
200.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
28620
263.5 IPS |
|
|
Style Transfer (SP)
|
100% |
1025
1.32 IPS |
|
|
Style Transfer (HP)
|
100% |
1016
1.31 IPS |
|
|
Style Transfer (Q)
|
98% |
4188
5.40 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
381
14.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9153
338.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
12916
478.6 IPS |
|
|
Text Classification (SP)
|
100% |
542
723.6 IPS |
|
|
Text Classification (HP)
|
100% |
541
722.0 IPS |
|
|
Text Classification (Q)
|
91% |
226
304.4 IPS |
|
|
Machine Translation (SP)
|
100% |
716
12.3 IPS |
|
|
Machine Translation (HP)
|
100% |
708
12.2 IPS |
|
|
Machine Translation (Q)
|
57% |
228
5.57 IPS |
