Google Pixel 10
Geekbench AI Score
494
Single Precision Score
1017
Half Precision Score
3513
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 04 2025 02:35 AM |
| Views | 1 |
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% |
329
61.1 IPS |
|
|
Image Classification (HP)
|
100% |
331
61.6 IPS |
|
|
Image Classification (Q)
|
99% |
2603
485.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
425
6.89 IPS |
|
|
Image Segmentation (HP)
|
100% |
427
6.92 IPS |
|
|
Image Segmentation (Q)
|
98% |
10421
169.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
532
0.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
539
0.63 IPS |
|
|
Pose Estimation (Q)
|
96% |
3044
3.57 IPS |
|
|
Object Detection (SP)
|
100% |
334
26.5 IPS |
|
|
Object Detection (HP)
|
100% |
335
26.6 IPS |
|
|
Object Detection (Q)
|
87% |
2519
202.1 IPS |
|
|
Face Detection (SP)
|
100% |
733
8.72 IPS |
|
|
Face Detection (HP)
|
100% |
738
8.77 IPS |
|
|
Face Detection (Q)
|
97% |
15936
190.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
653
5.03 IPS |
|
|
Depth Estimation (HP)
|
99% |
23750
183.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
29339
270.1 IPS |
|
|
Style Transfer (SP)
|
100% |
777
1.00 IPS |
|
|
Style Transfer (HP)
|
100% |
993
1.28 IPS |
|
|
Style Transfer (Q)
|
98% |
3947
5.09 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
340
12.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9031
333.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
16814
623.0 IPS |
|
|
Text Classification (SP)
|
100% |
460
614.6 IPS |
|
|
Text Classification (HP)
|
100% |
491
655.2 IPS |
|
|
Text Classification (Q)
|
91% |
243
326.1 IPS |
|
|
Machine Translation (SP)
|
100% |
602
10.4 IPS |
|
|
Machine Translation (HP)
|
100% |
601
10.4 IPS |
|
|
Machine Translation (Q)
|
57% |
183
4.47 IPS |
