Google Pixel 10
Geekbench AI Score
432
Single Precision Score
872
Half Precision Score
3450
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | dangeredwolf |
| Upload Date | December 16 2025 04:48 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 | 11.29 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
328
61.0 IPS |
|
|
Image Classification (HP)
|
100% |
326
60.6 IPS |
|
|
Image Classification (Q)
|
99% |
2368
441.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
418
6.77 IPS |
|
|
Image Segmentation (HP)
|
100% |
427
6.92 IPS |
|
|
Image Segmentation (Q)
|
98% |
10481
170.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
524
0.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
511
0.60 IPS |
|
|
Pose Estimation (Q)
|
96% |
3520
4.12 IPS |
|
|
Object Detection (SP)
|
100% |
182
14.4 IPS |
|
|
Object Detection (HP)
|
100% |
292
23.2 IPS |
|
|
Object Detection (Q)
|
87% |
3167
254.1 IPS |
|
|
Face Detection (SP)
|
100% |
468
5.56 IPS |
|
|
Face Detection (HP)
|
100% |
462
5.49 IPS |
|
|
Face Detection (Q)
|
97% |
16730
199.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
571
4.40 IPS |
|
|
Depth Estimation (HP)
|
99% |
22619
174.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
28161
259.2 IPS |
|
|
Style Transfer (SP)
|
100% |
873
1.12 IPS |
|
|
Style Transfer (HP)
|
100% |
800
1.03 IPS |
|
|
Style Transfer (Q)
|
98% |
3461
4.46 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
317
11.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9132
337.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
12555
465.2 IPS |
|
|
Text Classification (SP)
|
100% |
390
520.5 IPS |
|
|
Text Classification (HP)
|
100% |
393
524.5 IPS |
|
|
Text Classification (Q)
|
91% |
222
298.4 IPS |
|
|
Machine Translation (SP)
|
100% |
608
10.5 IPS |
|
|
Machine Translation (HP)
|
100% |
411
7.08 IPS |
|
|
Machine Translation (Q)
|
57% |
190
4.65 IPS |
