Google Pixel 10
Geekbench AI Score
392
Single Precision Score
811
Half Precision Score
3556
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 15 2025 09:59 PM |
| Views | 6 |
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 | 10.91 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
325
60.4 IPS |
|
|
Image Classification (HP)
|
100% |
320
59.5 IPS |
|
|
Image Classification (Q)
|
99% |
2385
444.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
370
6.00 IPS |
|
|
Image Segmentation (HP)
|
100% |
253
4.10 IPS |
|
|
Image Segmentation (Q)
|
98% |
10468
170.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
352
0.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
304
0.35 IPS |
|
|
Pose Estimation (Q)
|
96% |
1955
2.29 IPS |
|
|
Object Detection (SP)
|
100% |
234
18.6 IPS |
|
|
Object Detection (HP)
|
100% |
272
21.6 IPS |
|
|
Object Detection (Q)
|
87% |
2523
202.4 IPS |
|
|
Face Detection (SP)
|
100% |
618
7.34 IPS |
|
|
Face Detection (HP)
|
100% |
500
5.94 IPS |
|
|
Face Detection (Q)
|
97% |
25366
302.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
579
4.46 IPS |
|
|
Depth Estimation (HP)
|
99% |
27504
211.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
37786
347.8 IPS |
|
|
Style Transfer (SP)
|
100% |
803
1.03 IPS |
|
|
Style Transfer (HP)
|
100% |
713
0.92 IPS |
|
|
Style Transfer (Q)
|
98% |
3322
4.28 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
251
9.29 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9301
343.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
12153
450.3 IPS |
|
|
Text Classification (SP)
|
100% |
203
270.9 IPS |
|
|
Text Classification (HP)
|
100% |
343
457.5 IPS |
|
|
Text Classification (Q)
|
91% |
365
490.2 IPS |
|
|
Machine Translation (SP)
|
100% |
603
10.4 IPS |
|
|
Machine Translation (HP)
|
100% |
591
10.2 IPS |
|
|
Machine Translation (Q)
|
57% |
186
4.54 IPS |
