Google Pixel 10
Geekbench AI Score
375
Single Precision Score
738
Half Precision Score
3497
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 07 2025 06:57 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% |
157
29.1 IPS |
|
|
Image Classification (HP)
|
100% |
157
29.3 IPS |
|
|
Image Classification (Q)
|
99% |
2517
469.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
221
3.58 IPS |
|
|
Image Segmentation (HP)
|
100% |
373
6.05 IPS |
|
|
Image Segmentation (Q)
|
98% |
10004
162.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
374
0.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
345
0.40 IPS |
|
|
Pose Estimation (Q)
|
96% |
2640
3.09 IPS |
|
|
Object Detection (SP)
|
100% |
176
14.0 IPS |
|
|
Object Detection (HP)
|
100% |
164
13.0 IPS |
|
|
Object Detection (Q)
|
87% |
2462
197.5 IPS |
|
|
Face Detection (SP)
|
100% |
621
7.37 IPS |
|
|
Face Detection (HP)
|
100% |
486
5.78 IPS |
|
|
Face Detection (Q)
|
97% |
19178
228.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
576
4.44 IPS |
|
|
Depth Estimation (HP)
|
99% |
25196
194.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
28297
260.5 IPS |
|
|
Style Transfer (SP)
|
100% |
889
1.14 IPS |
|
|
Style Transfer (HP)
|
100% |
822
1.06 IPS |
|
|
Style Transfer (Q)
|
98% |
3702
4.77 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
320
11.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9062
334.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
12043
446.2 IPS |
|
|
Text Classification (SP)
|
100% |
370
494.3 IPS |
|
|
Text Classification (HP)
|
100% |
248
330.4 IPS |
|
|
Text Classification (Q)
|
91% |
393
528.1 IPS |
|
|
Machine Translation (SP)
|
100% |
640
11.0 IPS |
|
|
Machine Translation (HP)
|
100% |
648
11.2 IPS |
|
|
Machine Translation (Q)
|
57% |
176
4.30 IPS |
