Google Pixel 10 Pro XL
Geekbench AI Score
496
Single Precision Score
1011
Half Precision Score
4519
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | SHUBHAMSARAF |
| Upload Date | September 29 2025 09:06 PM |
| Views | 8 |
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% |
307
57.1 IPS |
|
|
Image Classification (HP)
|
100% |
309
57.5 IPS |
|
|
Image Classification (Q)
|
99% |
5267
982.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
394
6.39 IPS |
|
|
Image Segmentation (HP)
|
100% |
400
6.49 IPS |
|
|
Image Segmentation (Q)
|
98% |
9499
154.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
485
0.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
500
0.58 IPS |
|
|
Pose Estimation (Q)
|
96% |
3729
4.37 IPS |
|
|
Object Detection (SP)
|
100% |
295
23.4 IPS |
|
|
Object Detection (HP)
|
100% |
304
24.1 IPS |
|
|
Object Detection (Q)
|
87% |
4101
328.9 IPS |
|
|
Face Detection (SP)
|
100% |
696
8.27 IPS |
|
|
Face Detection (HP)
|
100% |
699
8.31 IPS |
|
|
Face Detection (Q)
|
97% |
23398
279.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
608
4.69 IPS |
|
|
Depth Estimation (HP)
|
99% |
31264
240.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
42488
391.1 IPS |
|
|
Style Transfer (SP)
|
100% |
951
1.22 IPS |
|
|
Style Transfer (HP)
|
100% |
889
1.14 IPS |
|
|
Style Transfer (Q)
|
98% |
4139
5.34 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
344
12.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8295
306.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
11801
437.3 IPS |
|
|
Text Classification (SP)
|
100% |
540
721.1 IPS |
|
|
Text Classification (HP)
|
100% |
541
722.4 IPS |
|
|
Text Classification (Q)
|
91% |
425
570.9 IPS |
|
|
Machine Translation (SP)
|
100% |
697
12.0 IPS |
|
|
Machine Translation (HP)
|
100% |
684
11.8 IPS |
|
|
Machine Translation (Q)
|
57% |
225
5.49 IPS |
