Google Pixel 10
Geekbench AI Score
1792
Single Precision Score
1803
Half Precision Score
2742
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 28 2025 09:28 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 |
| 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% |
1993
370.7 IPS |
|
|
Image Classification (HP)
|
100% |
2110
392.3 IPS |
|
|
Image Classification (Q)
|
100% |
3851
716.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2344
38.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2362
38.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
4170
67.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3915
4.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
3540
4.13 IPS |
|
|
Pose Estimation (Q)
|
84% |
7132
8.46 IPS |
|
|
Object Detection (SP)
|
98% |
871
69.3 IPS |
|
|
Object Detection (HP)
|
98% |
1190
94.7 IPS |
|
|
Object Detection (Q)
|
83% |
1501
121.2 IPS |
|
|
Face Detection (SP)
|
100% |
2162
25.7 IPS |
|
|
Face Detection (HP)
|
100% |
2093
24.9 IPS |
|
|
Face Detection (Q)
|
95% |
4555
54.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
2405
18.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2290
17.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
3769
34.5 IPS |
|
|
Style Transfer (SP)
|
89% |
5647
7.33 IPS |
|
|
Style Transfer (HP)
|
89% |
5732
7.44 IPS |
|
|
Style Transfer (Q)
|
98% |
10814
13.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1296
47.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1255
46.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3254
120.6 IPS |
|
|
Text Classification (SP)
|
100% |
577
769.7 IPS |
|
|
Text Classification (HP)
|
99% |
577
769.5 IPS |
|
|
Text Classification (Q)
|
88% |
717
967.5 IPS |
|
|
Machine Translation (SP)
|
100% |
981
16.9 IPS |
|
|
Machine Translation (HP)
|
100% |
872
15.0 IPS |
|
|
Machine Translation (Q)
|
50% |
323
11.5 IPS |
