Google Pixel 10
Geekbench AI Score
1820
Single Precision Score
1827
Half Precision Score
2671
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 30 2025 01:15 AM |
| 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% |
1825
339.5 IPS |
|
|
Image Classification (HP)
|
100% |
2055
382.1 IPS |
|
|
Image Classification (Q)
|
100% |
1880
349.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2191
35.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2282
37.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
3561
57.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3817
4.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
2898
3.38 IPS |
|
|
Pose Estimation (Q)
|
84% |
7017
8.32 IPS |
|
|
Object Detection (SP)
|
98% |
1177
93.7 IPS |
|
|
Object Detection (HP)
|
98% |
1243
98.9 IPS |
|
|
Object Detection (Q)
|
83% |
1882
152.0 IPS |
|
|
Face Detection (SP)
|
100% |
2158
25.6 IPS |
|
|
Face Detection (HP)
|
100% |
2120
25.2 IPS |
|
|
Face Detection (Q)
|
95% |
4843
57.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
2441
18.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2451
18.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
4689
42.9 IPS |
|
|
Style Transfer (SP)
|
89% |
5113
6.64 IPS |
|
|
Style Transfer (HP)
|
89% |
5978
7.76 IPS |
|
|
Style Transfer (Q)
|
98% |
10930
14.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1282
47.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1305
48.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3462
128.3 IPS |
|
|
Text Classification (SP)
|
100% |
638
851.4 IPS |
|
|
Text Classification (HP)
|
99% |
637
850.8 IPS |
|
|
Text Classification (Q)
|
88% |
643
866.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1010
17.4 IPS |
|
|
Machine Translation (HP)
|
100% |
950
16.4 IPS |
|
|
Machine Translation (Q)
|
50% |
379
13.4 IPS |
