Google Pixel 10 Pro XL
Geekbench AI Score
2353
Single Precision Score
2373
Half Precision Score
3569
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | AgenttiX |
| Upload Date | October 01 2025 04:45 PM |
| 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 | 15.18 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1799
334.5 IPS |
|
|
Image Classification (HP)
|
100% |
1619
301.1 IPS |
|
|
Image Classification (Q)
|
100% |
3649
678.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1965
31.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2246
36.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
4118
67.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4124
4.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
4025
4.70 IPS |
|
|
Pose Estimation (Q)
|
84% |
9785
11.6 IPS |
|
|
Object Detection (SP)
|
98% |
1670
132.9 IPS |
|
|
Object Detection (HP)
|
98% |
1780
141.7 IPS |
|
|
Object Detection (Q)
|
83% |
2690
217.3 IPS |
|
|
Face Detection (SP)
|
100% |
3011
35.8 IPS |
|
|
Face Detection (HP)
|
100% |
3024
35.9 IPS |
|
|
Face Detection (Q)
|
95% |
6392
76.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
3749
29.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3853
29.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
5231
47.9 IPS |
|
|
Style Transfer (SP)
|
89% |
8529
11.1 IPS |
|
|
Style Transfer (HP)
|
89% |
9250
12.0 IPS |
|
|
Style Transfer (Q)
|
98% |
16348
21.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1998
73.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1981
73.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4881
180.9 IPS |
|
|
Text Classification (SP)
|
100% |
823
1.10 KIPS |
|
|
Text Classification (HP)
|
99% |
803
1.07 KIPS |
|
|
Text Classification (Q)
|
88% |
842
1.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
1355
23.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1268
21.8 IPS |
|
|
Machine Translation (Q)
|
50% |
378
13.4 IPS |
