Google Pixel 10 Pro XL
Geekbench AI Score
2262
Single Precision Score
2055
Half Precision Score
3432
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | January 24 2026 01:45 AM |
| Views | 9 |
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 | 14.73 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1736
322.8 IPS |
|
|
Image Classification (HP)
|
100% |
1605
298.4 IPS |
|
|
Image Classification (Q)
|
100% |
3537
657.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2220
36.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1967
31.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
3674
59.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4067
4.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
4012
4.68 IPS |
|
|
Pose Estimation (Q)
|
84% |
9605
11.4 IPS |
|
|
Object Detection (SP)
|
98% |
1649
131.2 IPS |
|
|
Object Detection (HP)
|
98% |
1518
120.8 IPS |
|
|
Object Detection (Q)
|
83% |
2439
197.0 IPS |
|
|
Face Detection (SP)
|
100% |
3091
36.7 IPS |
|
|
Face Detection (HP)
|
100% |
3162
37.6 IPS |
|
|
Face Detection (Q)
|
95% |
5624
67.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
3027
23.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3642
28.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
6447
59.1 IPS |
|
|
Style Transfer (SP)
|
89% |
8738
11.3 IPS |
|
|
Style Transfer (HP)
|
89% |
4840
6.28 IPS |
|
|
Style Transfer (Q)
|
98% |
12524
16.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1829
67.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1716
63.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4441
164.6 IPS |
|
|
Text Classification (SP)
|
100% |
748
998.6 IPS |
|
|
Text Classification (HP)
|
99% |
724
966.7 IPS |
|
|
Text Classification (Q)
|
88% |
1127
1.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
1214
20.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1009
17.4 IPS |
|
|
Machine Translation (Q)
|
50% |
328
11.6 IPS |
