Google Pixel 10 Pro XL
Geekbench AI Score
339
Single Precision Score
725
Half Precision Score
3187
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 13 2025 03:43 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
319
59.3 IPS |
|
|
Image Classification (HP)
|
100% |
326
60.7 IPS |
|
|
Image Classification (Q)
|
99% |
2579
481.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
399
6.47 IPS |
|
|
Image Segmentation (HP)
|
100% |
395
6.40 IPS |
|
|
Image Segmentation (Q)
|
98% |
11301
183.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
380
0.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
350
0.41 IPS |
|
|
Pose Estimation (Q)
|
96% |
2076
2.43 IPS |
|
|
Object Detection (SP)
|
100% |
157
12.4 IPS |
|
|
Object Detection (HP)
|
100% |
158
12.5 IPS |
|
|
Object Detection (Q)
|
87% |
2393
192.0 IPS |
|
|
Face Detection (SP)
|
100% |
585
6.96 IPS |
|
|
Face Detection (HP)
|
100% |
585
6.95 IPS |
|
|
Face Detection (Q)
|
97% |
23295
277.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
467
3.60 IPS |
|
|
Depth Estimation (HP)
|
99% |
25856
199.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
29357
270.3 IPS |
|
|
Style Transfer (SP)
|
100% |
573
0.74 IPS |
|
|
Style Transfer (HP)
|
100% |
564
0.73 IPS |
|
|
Style Transfer (Q)
|
98% |
3027
3.90 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
185
6.82 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8711
321.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
12128
449.4 IPS |
|
|
Text Classification (SP)
|
100% |
259
345.5 IPS |
|
|
Text Classification (HP)
|
100% |
216
288.5 IPS |
|
|
Text Classification (Q)
|
91% |
161
216.9 IPS |
|
|
Machine Translation (SP)
|
100% |
353
6.08 IPS |
|
|
Machine Translation (HP)
|
100% |
354
6.10 IPS |
|
|
Machine Translation (Q)
|
57% |
185
4.53 IPS |
