Google Pixel 10 Pro XL
Geekbench AI Score
1971
Single Precision Score
1965
Half Precision Score
3103
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | September 03 2025 03:25 PM |
| Views | 7 |
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% |
1853
344.5 IPS |
|
|
Image Classification (HP)
|
100% |
2079
386.6 IPS |
|
|
Image Classification (Q)
|
100% |
3342
621.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2356
38.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2292
37.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
4001
65.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3876
4.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
3660
4.27 IPS |
|
|
Pose Estimation (Q)
|
84% |
8914
10.6 IPS |
|
|
Object Detection (SP)
|
98% |
1696
135.0 IPS |
|
|
Object Detection (HP)
|
98% |
1637
130.3 IPS |
|
|
Object Detection (Q)
|
83% |
2641
213.3 IPS |
|
|
Face Detection (SP)
|
100% |
2772
32.9 IPS |
|
|
Face Detection (HP)
|
100% |
2767
32.9 IPS |
|
|
Face Detection (Q)
|
95% |
6147
73.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
2776
21.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2614
20.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
5016
45.9 IPS |
|
|
Style Transfer (SP)
|
89% |
5036
6.54 IPS |
|
|
Style Transfer (HP)
|
89% |
5337
6.93 IPS |
|
|
Style Transfer (Q)
|
98% |
10324
13.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1270
46.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1262
46.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3518
130.3 IPS |
|
|
Text Classification (SP)
|
100% |
595
794.5 IPS |
|
|
Text Classification (HP)
|
99% |
594
792.9 IPS |
|
|
Text Classification (Q)
|
88% |
642
866.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1057
18.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1043
18.0 IPS |
|
|
Machine Translation (Q)
|
50% |
366
13.0 IPS |
