Google Pixel 10 Pro XL
Geekbench AI Score
2493
Single Precision Score
2480
Half Precision Score
4046
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 24 2025 08:39 AM |
| Views | 2 |
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 | 14.70 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2029
377.4 IPS |
|
|
Image Classification (HP)
|
100% |
2033
378.0 IPS |
|
|
Image Classification (Q)
|
100% |
3902
725.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2287
37.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2320
37.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
4166
67.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4203
4.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
4153
4.85 IPS |
|
|
Pose Estimation (Q)
|
84% |
9852
11.7 IPS |
|
|
Object Detection (SP)
|
98% |
1627
129.5 IPS |
|
|
Object Detection (HP)
|
98% |
1562
124.3 IPS |
|
|
Object Detection (Q)
|
83% |
2592
209.4 IPS |
|
|
Face Detection (SP)
|
100% |
3001
35.7 IPS |
|
|
Face Detection (HP)
|
100% |
2948
35.0 IPS |
|
|
Face Detection (Q)
|
95% |
6191
73.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
3585
27.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3837
29.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
6570
60.2 IPS |
|
|
Style Transfer (SP)
|
89% |
9501
12.3 IPS |
|
|
Style Transfer (HP)
|
89% |
9422
12.2 IPS |
|
|
Style Transfer (Q)
|
98% |
19371
25.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2013
74.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2002
73.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4946
183.3 IPS |
|
|
Text Classification (SP)
|
100% |
909
1.21 KIPS |
|
|
Text Classification (HP)
|
99% |
931
1.24 KIPS |
|
|
Text Classification (Q)
|
88% |
1530
2.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
1564
26.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1451
25.0 IPS |
|
|
Machine Translation (Q)
|
50% |
475
16.9 IPS |
