Google Pixel 10 Pro XL
Geekbench AI Score
454
Single Precision Score
960
Half Precision Score
4228
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 29 2025 02:04 AM |
| Views | 3 |
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% |
210
39.1 IPS |
|
|
Image Classification (HP)
|
100% |
317
59.0 IPS |
|
|
Image Classification (Q)
|
99% |
5527
1.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
404
6.54 IPS |
|
|
Image Segmentation (HP)
|
100% |
403
6.54 IPS |
|
|
Image Segmentation (Q)
|
98% |
11230
182.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
463
0.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
490
0.57 IPS |
|
|
Pose Estimation (Q)
|
96% |
2959
3.47 IPS |
|
|
Object Detection (SP)
|
100% |
292
23.2 IPS |
|
|
Object Detection (HP)
|
100% |
219
17.4 IPS |
|
|
Object Detection (Q)
|
87% |
2949
236.6 IPS |
|
|
Face Detection (SP)
|
100% |
659
7.82 IPS |
|
|
Face Detection (HP)
|
100% |
630
7.48 IPS |
|
|
Face Detection (Q)
|
97% |
17619
210.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
587
4.52 IPS |
|
|
Depth Estimation (HP)
|
99% |
28248
217.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
30942
284.8 IPS |
|
|
Style Transfer (SP)
|
100% |
914
1.17 IPS |
|
|
Style Transfer (HP)
|
100% |
865
1.11 IPS |
|
|
Style Transfer (Q)
|
98% |
3786
4.88 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
316
11.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9834
363.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
13657
506.0 IPS |
|
|
Text Classification (SP)
|
100% |
457
609.5 IPS |
|
|
Text Classification (HP)
|
100% |
460
614.0 IPS |
|
|
Text Classification (Q)
|
91% |
364
488.7 IPS |
|
|
Machine Translation (SP)
|
100% |
646
11.1 IPS |
|
|
Machine Translation (HP)
|
100% |
698
12.0 IPS |
|
|
Machine Translation (Q)
|
57% |
329
8.04 IPS |
