Google Pixel 10
Geekbench AI Score
2500
Single Precision Score
2522
Half Precision Score
3916
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | dangeredwolf |
| Upload Date | December 16 2025 04:28 PM |
| Views | 10 |
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 | 11.29 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1881
349.8 IPS |
|
|
Image Classification (HP)
|
100% |
1897
352.7 IPS |
|
|
Image Classification (Q)
|
100% |
3539
658.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2252
36.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2228
36.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
4145
67.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4316
5.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
4331
5.05 IPS |
|
|
Pose Estimation (Q)
|
84% |
10272
12.2 IPS |
|
|
Object Detection (SP)
|
98% |
1552
123.5 IPS |
|
|
Object Detection (HP)
|
98% |
1794
142.7 IPS |
|
|
Object Detection (Q)
|
83% |
2816
227.5 IPS |
|
|
Face Detection (SP)
|
100% |
3399
40.4 IPS |
|
|
Face Detection (HP)
|
100% |
3294
39.1 IPS |
|
|
Face Detection (Q)
|
95% |
7323
87.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
3770
29.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3964
30.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
6092
55.8 IPS |
|
|
Style Transfer (SP)
|
89% |
8881
11.5 IPS |
|
|
Style Transfer (HP)
|
89% |
9645
12.5 IPS |
|
|
Style Transfer (Q)
|
98% |
20061
25.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2076
76.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2062
76.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5447
201.8 IPS |
|
|
Text Classification (SP)
|
100% |
996
1.33 KIPS |
|
|
Text Classification (HP)
|
99% |
988
1.32 KIPS |
|
|
Text Classification (Q)
|
88% |
1034
1.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
1433
24.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1236
21.3 IPS |
|
|
Machine Translation (Q)
|
50% |
397
14.1 IPS |
