Google Pixel 10
Geekbench AI Score
2117
Single Precision Score
2134
Half Precision Score
3339
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 22 2025 08:54 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1717
319.2 IPS |
|
|
Image Classification (HP)
|
100% |
2056
382.3 IPS |
|
|
Image Classification (Q)
|
100% |
3890
723.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2393
38.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2358
38.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
4244
69.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4385
5.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
4326
5.05 IPS |
|
|
Pose Estimation (Q)
|
84% |
10241
12.1 IPS |
|
|
Object Detection (SP)
|
98% |
1842
146.6 IPS |
|
|
Object Detection (HP)
|
98% |
1844
146.7 IPS |
|
|
Object Detection (Q)
|
83% |
3116
251.7 IPS |
|
|
Face Detection (SP)
|
100% |
3514
41.8 IPS |
|
|
Face Detection (HP)
|
100% |
3502
41.6 IPS |
|
|
Face Detection (Q)
|
95% |
6275
74.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
3464
26.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3210
24.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
5441
49.8 IPS |
|
|
Style Transfer (SP)
|
89% |
5531
7.18 IPS |
|
|
Style Transfer (HP)
|
89% |
6397
8.30 IPS |
|
|
Style Transfer (Q)
|
98% |
12921
16.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1310
48.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1255
46.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3055
113.2 IPS |
|
|
Text Classification (SP)
|
100% |
595
794.6 IPS |
|
|
Text Classification (HP)
|
99% |
591
788.4 IPS |
|
|
Text Classification (Q)
|
88% |
633
853.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1043
18.0 IPS |
|
|
Machine Translation (HP)
|
100% |
950
16.4 IPS |
|
|
Machine Translation (Q)
|
50% |
384
13.6 IPS |
