Google Pixel 10
Geekbench AI Score
412
Single Precision Score
758
Half Precision Score
3542
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | idanbo |
| Upload Date | August 27 2025 03:44 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 | 11.27 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
331
61.5 IPS |
|
|
Image Classification (HP)
|
100% |
334
62.0 IPS |
|
|
Image Classification (Q)
|
99% |
2486
463.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
395
6.40 IPS |
|
|
Image Segmentation (HP)
|
100% |
350
5.67 IPS |
|
|
Image Segmentation (Q)
|
98% |
11676
189.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
342
0.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
342
0.40 IPS |
|
|
Pose Estimation (Q)
|
96% |
2065
2.42 IPS |
|
|
Object Detection (SP)
|
100% |
273
21.7 IPS |
|
|
Object Detection (HP)
|
100% |
171
13.5 IPS |
|
|
Object Detection (Q)
|
87% |
2477
198.7 IPS |
|
|
Face Detection (SP)
|
100% |
657
7.81 IPS |
|
|
Face Detection (HP)
|
100% |
599
7.12 IPS |
|
|
Face Detection (Q)
|
97% |
21048
251.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
532
4.10 IPS |
|
|
Depth Estimation (HP)
|
99% |
23453
180.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
28135
259.0 IPS |
|
|
Style Transfer (SP)
|
100% |
781
1.00 IPS |
|
|
Style Transfer (HP)
|
100% |
752
0.97 IPS |
|
|
Style Transfer (Q)
|
98% |
3439
4.43 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
294
10.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8678
320.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
13068
484.2 IPS |
|
|
Text Classification (SP)
|
100% |
230
306.7 IPS |
|
|
Text Classification (HP)
|
100% |
230
306.4 IPS |
|
|
Text Classification (Q)
|
91% |
390
523.7 IPS |
|
|
Machine Translation (SP)
|
100% |
638
11.0 IPS |
|
|
Machine Translation (HP)
|
100% |
440
7.58 IPS |
|
|
Machine Translation (Q)
|
57% |
202
4.94 IPS |
