Google Pixel 10 Pro XL
Geekbench AI Score
2483
Single Precision Score
2457
Half Precision Score
4139
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | September 04 2025 11:23 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% |
2137
397.4 IPS |
|
|
Image Classification (HP)
|
100% |
2080
386.9 IPS |
|
|
Image Classification (Q)
|
100% |
3931
731.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2169
35.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1926
31.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
4169
67.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4101
4.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
4061
4.74 IPS |
|
|
Pose Estimation (Q)
|
84% |
9807
11.6 IPS |
|
|
Object Detection (SP)
|
98% |
1713
136.3 IPS |
|
|
Object Detection (HP)
|
98% |
1644
130.8 IPS |
|
|
Object Detection (Q)
|
83% |
2447
197.7 IPS |
|
|
Face Detection (SP)
|
100% |
3126
37.1 IPS |
|
|
Face Detection (HP)
|
100% |
3109
36.9 IPS |
|
|
Face Detection (Q)
|
95% |
5426
64.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
3575
27.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3826
29.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
6809
62.4 IPS |
|
|
Style Transfer (SP)
|
89% |
9417
12.2 IPS |
|
|
Style Transfer (HP)
|
89% |
9325
12.1 IPS |
|
|
Style Transfer (Q)
|
98% |
20081
25.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1937
71.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1934
71.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3981
147.5 IPS |
|
|
Text Classification (SP)
|
100% |
833
1.11 KIPS |
|
|
Text Classification (HP)
|
99% |
902
1.20 KIPS |
|
|
Text Classification (Q)
|
88% |
1596
2.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
1616
27.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1554
26.8 IPS |
|
|
Machine Translation (Q)
|
50% |
796
28.3 IPS |
