Google Pixel 10 Pro XL
Geekbench AI Score
1398
Single Precision Score
1384
Half Precision Score
1907
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 28 2025 08:17 AM |
| Views | 2 |
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% |
1361
253.1 IPS |
|
|
Image Classification (HP)
|
100% |
1557
289.6 IPS |
|
|
Image Classification (Q)
|
100% |
2809
522.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1938
31.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1968
31.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
3230
52.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3552
4.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
3152
3.68 IPS |
|
|
Pose Estimation (Q)
|
84% |
6483
7.69 IPS |
|
|
Object Detection (SP)
|
98% |
1027
81.7 IPS |
|
|
Object Detection (HP)
|
98% |
1024
81.5 IPS |
|
|
Object Detection (Q)
|
83% |
1005
81.1 IPS |
|
|
Face Detection (SP)
|
100% |
1532
18.2 IPS |
|
|
Face Detection (HP)
|
100% |
1341
15.9 IPS |
|
|
Face Detection (Q)
|
95% |
2162
25.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
1155
8.92 IPS |
|
|
Depth Estimation (HP)
|
99% |
1367
10.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
1986
18.2 IPS |
|
|
Style Transfer (SP)
|
89% |
4482
5.82 IPS |
|
|
Style Transfer (HP)
|
89% |
3811
4.95 IPS |
|
|
Style Transfer (Q)
|
98% |
8540
11.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
942
34.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
934
34.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2010
74.5 IPS |
|
|
Text Classification (SP)
|
100% |
468
624.8 IPS |
|
|
Text Classification (HP)
|
99% |
477
637.2 IPS |
|
|
Text Classification (Q)
|
88% |
530
714.8 IPS |
|
|
Machine Translation (SP)
|
100% |
851
14.7 IPS |
|
|
Machine Translation (HP)
|
100% |
839
14.5 IPS |
|
|
Machine Translation (Q)
|
50% |
276
9.80 IPS |
