Google Pixel 10
Geekbench AI Score
2014
Single Precision Score
2023
Half Precision Score
3181
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 07 2025 06:38 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Google Pixel 10 |
| Model ID | Google Pixel 10 |
| Motherboard | frankel |
| 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 | 11.27 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1893
352.0 IPS |
|
|
Image Classification (HP)
|
100% |
2137
397.5 IPS |
|
|
Image Classification (Q)
|
100% |
3585
666.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2354
38.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2319
37.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
4251
69.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4361
5.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
4358
5.08 IPS |
|
|
Pose Estimation (Q)
|
84% |
10923
13.0 IPS |
|
|
Object Detection (SP)
|
98% |
1922
152.9 IPS |
|
|
Object Detection (HP)
|
98% |
1597
127.1 IPS |
|
|
Object Detection (Q)
|
83% |
2842
229.6 IPS |
|
|
Face Detection (SP)
|
100% |
3191
37.9 IPS |
|
|
Face Detection (HP)
|
100% |
2762
32.8 IPS |
|
|
Face Detection (Q)
|
95% |
5867
70.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
2705
20.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2572
19.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
4983
45.6 IPS |
|
|
Style Transfer (SP)
|
89% |
4904
6.37 IPS |
|
|
Style Transfer (HP)
|
89% |
5113
6.64 IPS |
|
|
Style Transfer (Q)
|
98% |
8579
11.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1290
47.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1369
50.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2843
105.4 IPS |
|
|
Text Classification (SP)
|
100% |
633
845.3 IPS |
|
|
Text Classification (HP)
|
99% |
648
864.8 IPS |
|
|
Text Classification (Q)
|
88% |
907
1.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
852
14.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1036
17.8 IPS |
|
|
Machine Translation (Q)
|
50% |
347
12.3 IPS |
