Google Pixel 10
Geekbench AI Score
2150
Single Precision Score
2116
Half Precision Score
3386
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | idanbo |
| Upload Date | August 27 2025 04:00 PM |
| Views | 12 |
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% |
2133
396.7 IPS |
|
|
Image Classification (HP)
|
100% |
2132
396.5 IPS |
|
|
Image Classification (Q)
|
100% |
3485
648.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2447
39.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2432
39.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
4277
69.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4436
5.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
4380
5.11 IPS |
|
|
Pose Estimation (Q)
|
84% |
10543
12.5 IPS |
|
|
Object Detection (SP)
|
98% |
1828
145.5 IPS |
|
|
Object Detection (HP)
|
98% |
1916
152.5 IPS |
|
|
Object Detection (Q)
|
83% |
2808
226.8 IPS |
|
|
Face Detection (SP)
|
100% |
3568
42.4 IPS |
|
|
Face Detection (HP)
|
100% |
3502
41.6 IPS |
|
|
Face Detection (Q)
|
95% |
7711
92.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
3933
30.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3554
27.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
5823
53.3 IPS |
|
|
Style Transfer (SP)
|
89% |
4153
5.39 IPS |
|
|
Style Transfer (HP)
|
89% |
4121
5.35 IPS |
|
|
Style Transfer (Q)
|
98% |
11757
15.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1355
50.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1328
49.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3473
128.7 IPS |
|
|
Text Classification (SP)
|
100% |
603
804.9 IPS |
|
|
Text Classification (HP)
|
99% |
590
787.5 IPS |
|
|
Text Classification (Q)
|
88% |
665
896.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1050
18.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1032
17.8 IPS |
|
|
Machine Translation (Q)
|
50% |
369
13.1 IPS |
