Google Pixel 10 Pro XL
Geekbench AI Score
2475
Single Precision Score
2441
Half Precision Score
3857
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 03 2025 01:31 AM |
| Views | 1 |
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% |
1846
343.3 IPS |
|
|
Image Classification (HP)
|
100% |
1943
361.3 IPS |
|
|
Image Classification (Q)
|
100% |
3825
711.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2375
38.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2267
36.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3953
64.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4137
4.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
4107
4.79 IPS |
|
|
Pose Estimation (Q)
|
84% |
9835
11.7 IPS |
|
|
Object Detection (SP)
|
98% |
1843
146.7 IPS |
|
|
Object Detection (HP)
|
98% |
1671
132.9 IPS |
|
|
Object Detection (Q)
|
83% |
2406
194.4 IPS |
|
|
Face Detection (SP)
|
100% |
3281
39.0 IPS |
|
|
Face Detection (HP)
|
100% |
3178
37.8 IPS |
|
|
Face Detection (Q)
|
95% |
5410
64.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
3594
27.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3778
29.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
6275
57.5 IPS |
|
|
Style Transfer (SP)
|
89% |
8857
11.5 IPS |
|
|
Style Transfer (HP)
|
89% |
8142
10.6 IPS |
|
|
Style Transfer (Q)
|
98% |
17521
22.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1908
70.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2000
73.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3764
139.5 IPS |
|
|
Text Classification (SP)
|
100% |
808
1.08 KIPS |
|
|
Text Classification (HP)
|
99% |
816
1.09 KIPS |
|
|
Text Classification (Q)
|
88% |
1116
1.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
1605
27.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1559
26.9 IPS |
|
|
Machine Translation (Q)
|
50% |
816
29.0 IPS |
