Google Pixel 10 Pro XL
Geekbench AI Score
1193
Single Precision Score
1181
Half Precision Score
2006
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | September 18 2025 08:45 AM |
| 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 | 15.18 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1119
208.2 IPS |
|
|
Image Classification (HP)
|
100% |
965
179.4 IPS |
|
|
Image Classification (Q)
|
100% |
1661
309.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
871
14.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1668
27.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2741
44.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2550
2.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
2763
3.22 IPS |
|
|
Pose Estimation (Q)
|
84% |
6918
8.20 IPS |
|
|
Object Detection (SP)
|
98% |
1201
95.6 IPS |
|
|
Object Detection (HP)
|
98% |
1121
89.2 IPS |
|
|
Object Detection (Q)
|
83% |
1721
139.0 IPS |
|
|
Face Detection (SP)
|
100% |
1931
22.9 IPS |
|
|
Face Detection (HP)
|
100% |
1930
22.9 IPS |
|
|
Face Detection (Q)
|
95% |
4380
52.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
2148
16.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
836
6.46 IPS |
|
|
Depth Estimation (Q)
|
64% |
2832
25.9 IPS |
|
|
Style Transfer (SP)
|
89% |
3159
4.10 IPS |
|
|
Style Transfer (HP)
|
89% |
4118
5.35 IPS |
|
|
Style Transfer (Q)
|
98% |
7526
9.71 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
522
19.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1263
46.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1588
58.8 IPS |
|
|
Text Classification (SP)
|
100% |
573
765.5 IPS |
|
|
Text Classification (HP)
|
99% |
205
273.6 IPS |
|
|
Text Classification (Q)
|
88% |
428
576.7 IPS |
|
|
Machine Translation (SP)
|
100% |
502
8.65 IPS |
|
|
Machine Translation (HP)
|
100% |
617
10.6 IPS |
|
|
Machine Translation (Q)
|
50% |
308
10.9 IPS |
