Google Pixel 10
Geekbench AI Score
431
Single Precision Score
896
Half Precision Score
3852
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | rgba |
| Upload Date | November 01 2025 12:15 PM |
| Views | 9 |
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% |
330
61.4 IPS |
|
|
Image Classification (HP)
|
100% |
330
61.4 IPS |
|
|
Image Classification (Q)
|
99% |
3784
705.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
424
6.87 IPS |
|
|
Image Segmentation (HP)
|
100% |
395
6.40 IPS |
|
|
Image Segmentation (Q)
|
98% |
10688
173.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
396
0.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
336
0.39 IPS |
|
|
Pose Estimation (Q)
|
96% |
2841
3.33 IPS |
|
|
Object Detection (SP)
|
100% |
272
21.5 IPS |
|
|
Object Detection (HP)
|
100% |
272
21.6 IPS |
|
|
Object Detection (Q)
|
87% |
3469
278.3 IPS |
|
|
Face Detection (SP)
|
100% |
619
7.35 IPS |
|
|
Face Detection (HP)
|
100% |
624
7.42 IPS |
|
|
Face Detection (Q)
|
97% |
17010
202.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
522
4.02 IPS |
|
|
Depth Estimation (HP)
|
99% |
25027
192.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
29945
275.7 IPS |
|
|
Style Transfer (SP)
|
100% |
829
1.07 IPS |
|
|
Style Transfer (HP)
|
100% |
749
0.96 IPS |
|
|
Style Transfer (Q)
|
98% |
3629
4.68 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
219
8.08 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8824
325.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
12100
448.4 IPS |
|
|
Text Classification (SP)
|
100% |
421
562.2 IPS |
|
|
Text Classification (HP)
|
100% |
426
569.1 IPS |
|
|
Text Classification (Q)
|
91% |
402
540.2 IPS |
|
|
Machine Translation (SP)
|
100% |
599
10.3 IPS |
|
|
Machine Translation (HP)
|
100% |
638
11.0 IPS |
|
|
Machine Translation (Q)
|
57% |
201
4.91 IPS |
