Google Pixel 10 Pro XL
Geekbench AI Score
2075
Single Precision Score
2026
Half Precision Score
3393
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | December 22 2025 09:37 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Google Tensor G5 |
| 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 | 14.73 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1417
263.5 IPS |
|
|
Image Classification (HP)
|
100% |
1824
339.2 IPS |
|
|
Image Classification (Q)
|
100% |
2550
474.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1596
25.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1687
27.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3519
57.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3958
4.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
3901
4.55 IPS |
|
|
Pose Estimation (Q)
|
84% |
9314
11.0 IPS |
|
|
Object Detection (SP)
|
98% |
1615
128.5 IPS |
|
|
Object Detection (HP)
|
98% |
1772
141.0 IPS |
|
|
Object Detection (Q)
|
83% |
2030
164.0 IPS |
|
|
Face Detection (SP)
|
100% |
3178
37.8 IPS |
|
|
Face Detection (HP)
|
100% |
3053
36.3 IPS |
|
|
Face Detection (Q)
|
95% |
7089
84.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
3122
24.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3155
24.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
7067
64.7 IPS |
|
|
Style Transfer (SP)
|
89% |
7789
10.1 IPS |
|
|
Style Transfer (HP)
|
89% |
7158
9.29 IPS |
|
|
Style Transfer (Q)
|
98% |
10827
14.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1828
67.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1082
40.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4143
153.5 IPS |
|
|
Text Classification (SP)
|
100% |
670
894.9 IPS |
|
|
Text Classification (HP)
|
99% |
734
979.2 IPS |
|
|
Text Classification (Q)
|
88% |
1172
1.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
1085
18.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1003
17.3 IPS |
|
|
Machine Translation (Q)
|
50% |
453
16.1 IPS |
