Google Pixel 10 Pro XL
Geekbench AI Score
471
Single Precision Score
968
Half Precision Score
3396
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | tlgjaymz |
| Upload Date | January 25 2026 03:38 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
330
61.4 IPS |
|
|
Image Classification (HP)
|
100% |
332
61.7 IPS |
|
|
Image Classification (Q)
|
99% |
2242
418.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
421
6.82 IPS |
|
|
Image Segmentation (HP)
|
100% |
423
6.86 IPS |
|
|
Image Segmentation (Q)
|
98% |
10821
176.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
534
0.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
498
0.58 IPS |
|
|
Pose Estimation (Q)
|
96% |
3532
4.14 IPS |
|
|
Object Detection (SP)
|
100% |
268
21.3 IPS |
|
|
Object Detection (HP)
|
100% |
267
21.2 IPS |
|
|
Object Detection (Q)
|
87% |
2415
193.7 IPS |
|
|
Face Detection (SP)
|
100% |
651
7.73 IPS |
|
|
Face Detection (HP)
|
100% |
635
7.55 IPS |
|
|
Face Detection (Q)
|
97% |
15625
186.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
571
4.40 IPS |
|
|
Depth Estimation (HP)
|
99% |
26509
204.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
29350
270.2 IPS |
|
|
Style Transfer (SP)
|
100% |
849
1.09 IPS |
|
|
Style Transfer (HP)
|
100% |
880
1.13 IPS |
|
|
Style Transfer (Q)
|
98% |
3866
4.98 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
314
11.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8977
331.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
12051
446.5 IPS |
|
|
Text Classification (SP)
|
100% |
459
612.6 IPS |
|
|
Text Classification (HP)
|
100% |
457
609.8 IPS |
|
|
Text Classification (Q)
|
91% |
220
295.5 IPS |
|
|
Machine Translation (SP)
|
100% |
600
10.3 IPS |
|
|
Machine Translation (HP)
|
100% |
638
11.0 IPS |
|
|
Machine Translation (Q)
|
57% |
210
5.12 IPS |
