Google Pixel 10 Pro XL
Geekbench AI Score
2469
Single Precision Score
2388
Half Precision Score
3790
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | D31lux |
| Upload Date | January 04 2026 03:11 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Google Tensor G5 |
| 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 | 14.70 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1762
327.8 IPS |
|
|
Image Classification (HP)
|
100% |
1716
319.2 IPS |
|
|
Image Classification (Q)
|
100% |
3528
656.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2353
38.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1891
30.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3470
56.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4135
4.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
4082
4.76 IPS |
|
|
Pose Estimation (Q)
|
84% |
9608
11.4 IPS |
|
|
Object Detection (SP)
|
98% |
1718
136.7 IPS |
|
|
Object Detection (HP)
|
98% |
1638
130.3 IPS |
|
|
Object Detection (Q)
|
83% |
2452
198.0 IPS |
|
|
Face Detection (SP)
|
100% |
3211
38.2 IPS |
|
|
Face Detection (HP)
|
100% |
3183
37.8 IPS |
|
|
Face Detection (Q)
|
95% |
5954
71.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
3659
28.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3802
29.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
6269
57.4 IPS |
|
|
Style Transfer (SP)
|
89% |
9492
12.3 IPS |
|
|
Style Transfer (HP)
|
89% |
9359
12.1 IPS |
|
|
Style Transfer (Q)
|
98% |
19332
24.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1897
70.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1884
69.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4221
156.4 IPS |
|
|
Text Classification (SP)
|
100% |
857
1.14 KIPS |
|
|
Text Classification (HP)
|
99% |
839
1.12 KIPS |
|
|
Text Classification (Q)
|
88% |
1259
1.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
1577
27.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1556
26.8 IPS |
|
|
Machine Translation (Q)
|
50% |
553
19.6 IPS |
