Google Pixel 10 Pro XL
Geekbench AI Score
1761
Single Precision Score
1809
Half Precision Score
2812
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 10 2025 04:22 PM |
| Views | 6 |
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 | 15.21 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1590
295.6 IPS |
|
|
Image Classification (HP)
|
100% |
1879
349.4 IPS |
|
|
Image Classification (Q)
|
100% |
3303
614.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2229
36.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2099
34.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
3746
60.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3674
4.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
3682
4.30 IPS |
|
|
Pose Estimation (Q)
|
84% |
8073
9.57 IPS |
|
|
Object Detection (SP)
|
98% |
1448
115.3 IPS |
|
|
Object Detection (HP)
|
98% |
1361
108.3 IPS |
|
|
Object Detection (Q)
|
83% |
1935
156.3 IPS |
|
|
Face Detection (SP)
|
100% |
2120
25.2 IPS |
|
|
Face Detection (HP)
|
100% |
2226
26.4 IPS |
|
|
Face Detection (Q)
|
95% |
4908
58.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
2485
19.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2444
18.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
4460
40.9 IPS |
|
|
Style Transfer (SP)
|
89% |
4638
6.02 IPS |
|
|
Style Transfer (HP)
|
89% |
5292
6.87 IPS |
|
|
Style Transfer (Q)
|
98% |
9425
12.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1130
41.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1258
46.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2986
110.6 IPS |
|
|
Text Classification (SP)
|
100% |
593
792.1 IPS |
|
|
Text Classification (HP)
|
99% |
587
783.6 IPS |
|
|
Text Classification (Q)
|
88% |
860
1.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
933
16.1 IPS |
|
|
Machine Translation (HP)
|
100% |
896
15.4 IPS |
|
|
Machine Translation (Q)
|
50% |
302
10.7 IPS |
