Google Pixel 10 Pro XL
Geekbench AI Score
1871
Single Precision Score
1798
Half Precision Score
2959
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 22 2025 10:40 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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 | 14.70 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1327
246.8 IPS |
|
|
Image Classification (HP)
|
100% |
1615
300.4 IPS |
|
|
Image Classification (Q)
|
100% |
2781
517.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1856
30.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1592
25.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
3462
56.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3679
4.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
3674
4.29 IPS |
|
|
Pose Estimation (Q)
|
84% |
8600
10.2 IPS |
|
|
Object Detection (SP)
|
98% |
1434
114.1 IPS |
|
|
Object Detection (HP)
|
98% |
1526
121.4 IPS |
|
|
Object Detection (Q)
|
83% |
2230
180.1 IPS |
|
|
Face Detection (SP)
|
100% |
2697
32.0 IPS |
|
|
Face Detection (HP)
|
100% |
2778
33.0 IPS |
|
|
Face Detection (Q)
|
95% |
4024
48.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
2985
23.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2900
22.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
5628
51.5 IPS |
|
|
Style Transfer (SP)
|
89% |
8085
10.5 IPS |
|
|
Style Transfer (HP)
|
89% |
7652
9.93 IPS |
|
|
Style Transfer (Q)
|
98% |
16653
21.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1469
54.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1263
46.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3142
116.4 IPS |
|
|
Text Classification (SP)
|
100% |
564
752.5 IPS |
|
|
Text Classification (HP)
|
99% |
361
482.2 IPS |
|
|
Text Classification (Q)
|
88% |
668
900.3 IPS |
|
|
Machine Translation (SP)
|
100% |
754
13.0 IPS |
|
|
Machine Translation (HP)
|
100% |
874
15.1 IPS |
|
|
Machine Translation (Q)
|
50% |
353
12.5 IPS |
