Google Pixel 10 Pro XL
Geekbench AI Score
2444
Single Precision Score
2446
Half Precision Score
3959
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 25 2025 04:01 PM |
| 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% |
1877
349.0 IPS |
|
|
Image Classification (HP)
|
100% |
2037
378.8 IPS |
|
|
Image Classification (Q)
|
100% |
3563
662.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2425
39.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2271
36.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
4182
68.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4187
4.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
4104
4.79 IPS |
|
|
Pose Estimation (Q)
|
84% |
9626
11.4 IPS |
|
|
Object Detection (SP)
|
98% |
1686
134.2 IPS |
|
|
Object Detection (HP)
|
98% |
1673
133.1 IPS |
|
|
Object Detection (Q)
|
83% |
2290
185.0 IPS |
|
|
Face Detection (SP)
|
100% |
3018
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
2835
33.7 IPS |
|
|
Face Detection (Q)
|
95% |
6253
74.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
3439
26.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3626
28.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
5969
54.7 IPS |
|
|
Style Transfer (SP)
|
89% |
9323
12.1 IPS |
|
|
Style Transfer (HP)
|
89% |
9387
12.2 IPS |
|
|
Style Transfer (Q)
|
98% |
19988
25.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1947
71.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1854
68.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4702
174.2 IPS |
|
|
Text Classification (SP)
|
100% |
857
1.14 KIPS |
|
|
Text Classification (HP)
|
99% |
884
1.18 KIPS |
|
|
Text Classification (Q)
|
88% |
1477
1.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
1471
25.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1532
26.4 IPS |
|
|
Machine Translation (Q)
|
50% |
556
19.7 IPS |
