Google Pixel 10
Geekbench AI Score
397
Single Precision Score
752
Half Precision Score
3197
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 25 2025 06:23 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
268
49.9 IPS |
|
|
Image Classification (HP)
|
100% |
187
34.8 IPS |
|
|
Image Classification (Q)
|
99% |
2317
432.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
347
5.62 IPS |
|
|
Image Segmentation (HP)
|
100% |
250
4.06 IPS |
|
|
Image Segmentation (Q)
|
98% |
10048
163.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
341
0.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
332
0.39 IPS |
|
|
Pose Estimation (Q)
|
96% |
3366
3.94 IPS |
|
|
Object Detection (SP)
|
100% |
251
19.9 IPS |
|
|
Object Detection (HP)
|
100% |
268
21.2 IPS |
|
|
Object Detection (Q)
|
87% |
2317
185.9 IPS |
|
|
Face Detection (SP)
|
100% |
621
7.38 IPS |
|
|
Face Detection (HP)
|
100% |
489
5.81 IPS |
|
|
Face Detection (Q)
|
97% |
18640
222.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
523
4.03 IPS |
|
|
Depth Estimation (HP)
|
99% |
27163
209.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
27461
252.8 IPS |
|
|
Style Transfer (SP)
|
100% |
800
1.03 IPS |
|
|
Style Transfer (HP)
|
100% |
837
1.08 IPS |
|
|
Style Transfer (Q)
|
98% |
3618
4.66 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
317
11.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8671
320.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
11923
441.8 IPS |
|
|
Text Classification (SP)
|
100% |
239
318.6 IPS |
|
|
Text Classification (HP)
|
100% |
240
320.5 IPS |
|
|
Text Classification (Q)
|
91% |
166
223.2 IPS |
|
|
Machine Translation (SP)
|
100% |
633
10.9 IPS |
|
|
Machine Translation (HP)
|
100% |
603
10.4 IPS |
|
|
Machine Translation (Q)
|
57% |
168
4.11 IPS |
