Google Pixel 10
Geekbench AI Score
404
Single Precision Score
863
Half Precision Score
3368
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | dangeredwolf |
| Upload Date | December 16 2025 04:59 PM |
| Views | 4 |
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 | 11.29 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
320
59.6 IPS |
|
|
Image Classification (HP)
|
100% |
328
61.0 IPS |
|
|
Image Classification (Q)
|
99% |
2561
477.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
348
5.65 IPS |
|
|
Image Segmentation (HP)
|
100% |
349
5.65 IPS |
|
|
Image Segmentation (Q)
|
98% |
13902
226.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
368
0.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
359
0.42 IPS |
|
|
Pose Estimation (Q)
|
96% |
2156
2.53 IPS |
|
|
Object Detection (SP)
|
100% |
272
21.6 IPS |
|
|
Object Detection (HP)
|
100% |
272
21.6 IPS |
|
|
Object Detection (Q)
|
87% |
2462
197.5 IPS |
|
|
Face Detection (SP)
|
100% |
483
5.74 IPS |
|
|
Face Detection (HP)
|
100% |
666
7.91 IPS |
|
|
Face Detection (Q)
|
97% |
18429
219.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
506
3.90 IPS |
|
|
Depth Estimation (HP)
|
99% |
27480
211.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
28769
264.8 IPS |
|
|
Style Transfer (SP)
|
100% |
826
1.06 IPS |
|
|
Style Transfer (HP)
|
100% |
808
1.04 IPS |
|
|
Style Transfer (Q)
|
98% |
3557
4.59 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
320
11.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8806
325.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
12151
450.3 IPS |
|
|
Text Classification (SP)
|
100% |
258
345.0 IPS |
|
|
Text Classification (HP)
|
100% |
391
522.5 IPS |
|
|
Text Classification (Q)
|
91% |
247
331.9 IPS |
|
|
Machine Translation (SP)
|
100% |
636
10.9 IPS |
|
|
Machine Translation (HP)
|
100% |
403
6.94 IPS |
|
|
Machine Translation (Q)
|
57% |
176
4.29 IPS |
