Google Pixel 10
Geekbench AI Score
2268
Single Precision Score
2238
Half Precision Score
3449
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 20 2025 12:56 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% |
1847
343.5 IPS |
|
|
Image Classification (HP)
|
100% |
1975
367.2 IPS |
|
|
Image Classification (Q)
|
100% |
3539
658.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2390
38.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2376
38.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
4196
68.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4486
5.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
4398
5.13 IPS |
|
|
Pose Estimation (Q)
|
84% |
10683
12.7 IPS |
|
|
Object Detection (SP)
|
98% |
2044
162.7 IPS |
|
|
Object Detection (HP)
|
98% |
1991
158.4 IPS |
|
|
Object Detection (Q)
|
83% |
3329
268.9 IPS |
|
|
Face Detection (SP)
|
100% |
3528
41.9 IPS |
|
|
Face Detection (HP)
|
100% |
3514
41.8 IPS |
|
|
Face Detection (Q)
|
95% |
7571
90.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
4017
31.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3989
30.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
6710
61.5 IPS |
|
|
Style Transfer (SP)
|
89% |
8449
11.0 IPS |
|
|
Style Transfer (HP)
|
89% |
6080
7.89 IPS |
|
|
Style Transfer (Q)
|
98% |
13241
17.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1412
52.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1370
50.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3050
113.0 IPS |
|
|
Text Classification (SP)
|
100% |
633
844.3 IPS |
|
|
Text Classification (HP)
|
99% |
639
852.8 IPS |
|
|
Text Classification (Q)
|
88% |
587
791.6 IPS |
|
|
Machine Translation (SP)
|
100% |
834
14.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1032
17.8 IPS |
|
|
Machine Translation (Q)
|
50% |
375
13.3 IPS |
