Google Pixel 10 Pro XL
Geekbench AI Score
489
Single Precision Score
958
Half Precision Score
4031
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 19 2025 09:40 AM |
| 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% |
332
61.7 IPS |
|
|
Image Classification (Q)
|
99% |
3308
617.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
425
6.88 IPS |
|
|
Image Segmentation (HP)
|
100% |
427
6.91 IPS |
|
|
Image Segmentation (Q)
|
98% |
11531
187.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
479
0.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
515
0.60 IPS |
|
|
Pose Estimation (Q)
|
96% |
3763
4.41 IPS |
|
|
Object Detection (SP)
|
100% |
322
25.5 IPS |
|
|
Object Detection (HP)
|
100% |
321
25.4 IPS |
|
|
Object Detection (Q)
|
87% |
2662
213.6 IPS |
|
|
Face Detection (SP)
|
100% |
710
8.44 IPS |
|
|
Face Detection (HP)
|
100% |
712
8.47 IPS |
|
|
Face Detection (Q)
|
97% |
26443
315.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
623
4.80 IPS |
|
|
Depth Estimation (HP)
|
99% |
24709
190.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
27981
257.6 IPS |
|
|
Style Transfer (SP)
|
100% |
873
1.12 IPS |
|
|
Style Transfer (HP)
|
100% |
982
1.26 IPS |
|
|
Style Transfer (Q)
|
98% |
4203
5.42 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
363
13.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9155
338.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
12193
451.8 IPS |
|
|
Text Classification (SP)
|
100% |
432
576.5 IPS |
|
|
Text Classification (HP)
|
100% |
426
568.3 IPS |
|
|
Text Classification (Q)
|
91% |
399
535.9 IPS |
|
|
Machine Translation (SP)
|
100% |
605
10.4 IPS |
|
|
Machine Translation (HP)
|
100% |
414
7.13 IPS |
|
|
Machine Translation (Q)
|
57% |
196
4.79 IPS |
