Google Pixel 10 Pro XL
Geekbench AI Score
528
Single Precision Score
1043
Half Precision Score
4511
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 12 2025 08:51 AM |
| Views | 7 |
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% |
326
60.6 IPS |
|
|
Image Classification (HP)
|
100% |
329
61.3 IPS |
|
|
Image Classification (Q)
|
99% |
5349
997.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
421
6.82 IPS |
|
|
Image Segmentation (HP)
|
100% |
423
6.86 IPS |
|
|
Image Segmentation (Q)
|
98% |
11438
186.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
553
0.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
545
0.64 IPS |
|
|
Pose Estimation (Q)
|
96% |
4119
4.83 IPS |
|
|
Object Detection (SP)
|
100% |
330
26.2 IPS |
|
|
Object Detection (HP)
|
100% |
330
26.2 IPS |
|
|
Object Detection (Q)
|
87% |
4101
328.9 IPS |
|
|
Face Detection (SP)
|
100% |
732
8.69 IPS |
|
|
Face Detection (HP)
|
100% |
739
8.78 IPS |
|
|
Face Detection (Q)
|
97% |
25143
299.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
652
5.02 IPS |
|
|
Depth Estimation (HP)
|
99% |
25804
198.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
34874
321.0 IPS |
|
|
Style Transfer (SP)
|
100% |
1000
1.29 IPS |
|
|
Style Transfer (HP)
|
100% |
990
1.27 IPS |
|
|
Style Transfer (Q)
|
98% |
4191
5.40 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
376
13.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9032
333.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
12078
447.5 IPS |
|
|
Text Classification (SP)
|
100% |
542
723.1 IPS |
|
|
Text Classification (HP)
|
100% |
538
718.0 IPS |
|
|
Text Classification (Q)
|
91% |
397
533.8 IPS |
|
|
Machine Translation (SP)
|
100% |
694
12.0 IPS |
|
|
Machine Translation (HP)
|
100% |
669
11.5 IPS |
|
|
Machine Translation (Q)
|
57% |
192
4.69 IPS |
