Google Pixel 10
Geekbench AI Score
400
Single Precision Score
866
Half Precision Score
4201
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 12 2025 07:22 AM |
| Views | 2 |
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% |
169
31.5 IPS |
|
|
Image Classification (HP)
|
100% |
268
49.9 IPS |
|
|
Image Classification (Q)
|
99% |
2738
510.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
229
3.71 IPS |
|
|
Image Segmentation (HP)
|
100% |
342
5.54 IPS |
|
|
Image Segmentation (Q)
|
98% |
10910
177.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
387
0.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
494
0.58 IPS |
|
|
Pose Estimation (Q)
|
96% |
3859
4.52 IPS |
|
|
Object Detection (SP)
|
100% |
326
25.8 IPS |
|
|
Object Detection (HP)
|
100% |
322
25.5 IPS |
|
|
Object Detection (Q)
|
87% |
3549
284.7 IPS |
|
|
Face Detection (SP)
|
100% |
497
5.90 IPS |
|
|
Face Detection (HP)
|
100% |
620
7.36 IPS |
|
|
Face Detection (Q)
|
97% |
26514
316.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
573
4.41 IPS |
|
|
Depth Estimation (HP)
|
99% |
24527
189.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
36852
339.2 IPS |
|
|
Style Transfer (SP)
|
100% |
832
1.07 IPS |
|
|
Style Transfer (HP)
|
100% |
820
1.05 IPS |
|
|
Style Transfer (Q)
|
98% |
3715
4.79 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
319
11.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8871
327.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
12450
461.3 IPS |
|
|
Text Classification (SP)
|
100% |
423
564.4 IPS |
|
|
Text Classification (HP)
|
100% |
249
332.5 IPS |
|
|
Text Classification (Q)
|
91% |
431
579.5 IPS |
|
|
Machine Translation (SP)
|
100% |
675
11.6 IPS |
|
|
Machine Translation (HP)
|
100% |
597
10.3 IPS |
|
|
Machine Translation (Q)
|
57% |
215
5.25 IPS |
