Google Pixel 10 Pro XL
Geekbench AI Score
2516
Single Precision Score
2528
Half Precision Score
4281
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Alan156 |
| Upload Date | October 25 2025 06:11 PM |
| Views | 3 |
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% |
1835
341.3 IPS |
|
|
Image Classification (HP)
|
100% |
1962
364.8 IPS |
|
|
Image Classification (Q)
|
100% |
3541
658.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2345
38.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2379
38.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
4168
67.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4258
4.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
4157
4.85 IPS |
|
|
Pose Estimation (Q)
|
84% |
10025
11.9 IPS |
|
|
Object Detection (SP)
|
98% |
1767
140.6 IPS |
|
|
Object Detection (HP)
|
98% |
1770
140.9 IPS |
|
|
Object Detection (Q)
|
83% |
2800
226.2 IPS |
|
|
Face Detection (SP)
|
100% |
3123
37.1 IPS |
|
|
Face Detection (HP)
|
100% |
3081
36.6 IPS |
|
|
Face Detection (Q)
|
95% |
7214
86.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
3701
28.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3778
29.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
6488
59.4 IPS |
|
|
Style Transfer (SP)
|
89% |
9678
12.6 IPS |
|
|
Style Transfer (HP)
|
89% |
9647
12.5 IPS |
|
|
Style Transfer (Q)
|
98% |
19925
25.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1953
72.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1980
73.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4338
160.8 IPS |
|
|
Text Classification (SP)
|
100% |
900
1.20 KIPS |
|
|
Text Classification (HP)
|
99% |
889
1.19 KIPS |
|
|
Text Classification (Q)
|
88% |
1494
2.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
1600
27.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1571
27.1 IPS |
|
|
Machine Translation (Q)
|
50% |
827
29.4 IPS |
