Google Pixel 10
Geekbench AI Score
418
Single Precision Score
904
Half Precision Score
3896
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 21 2025 05:38 PM |
| 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 | 11.27 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
330
61.3 IPS |
|
|
Image Classification (HP)
|
100% |
334
62.1 IPS |
|
|
Image Classification (Q)
|
99% |
4746
885.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
428
6.94 IPS |
|
|
Image Segmentation (HP)
|
100% |
431
6.99 IPS |
|
|
Image Segmentation (Q)
|
98% |
11978
194.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
508
0.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
370
0.43 IPS |
|
|
Pose Estimation (Q)
|
96% |
3290
3.85 IPS |
|
|
Object Detection (SP)
|
100% |
177
14.0 IPS |
|
|
Object Detection (HP)
|
100% |
273
21.7 IPS |
|
|
Object Detection (Q)
|
87% |
2790
223.8 IPS |
|
|
Face Detection (SP)
|
100% |
659
7.83 IPS |
|
|
Face Detection (HP)
|
100% |
627
7.45 IPS |
|
|
Face Detection (Q)
|
97% |
17547
209.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
495
3.82 IPS |
|
|
Depth Estimation (HP)
|
99% |
23959
184.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
28935
266.4 IPS |
|
|
Style Transfer (SP)
|
100% |
903
1.16 IPS |
|
|
Style Transfer (HP)
|
100% |
797
1.02 IPS |
|
|
Style Transfer (Q)
|
98% |
3369
4.34 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
191
7.06 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8724
322.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
12298
455.7 IPS |
|
|
Text Classification (SP)
|
100% |
389
519.4 IPS |
|
|
Text Classification (HP)
|
100% |
390
520.5 IPS |
|
|
Text Classification (Q)
|
91% |
379
509.9 IPS |
|
|
Machine Translation (SP)
|
100% |
599
10.3 IPS |
|
|
Machine Translation (HP)
|
100% |
621
10.7 IPS |
|
|
Machine Translation (Q)
|
57% |
194
4.75 IPS |
