Google Pixel 10
Geekbench AI Score
2477
Single Precision Score
2375
Half Precision Score
3891
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | September 03 2025 10:25 PM |
| Views | 6 |
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% |
1796
334.1 IPS |
|
|
Image Classification (HP)
|
100% |
2122
394.6 IPS |
|
|
Image Classification (Q)
|
100% |
3613
671.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2478
40.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2128
34.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
4208
68.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4437
5.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
4379
5.11 IPS |
|
|
Pose Estimation (Q)
|
84% |
10344
12.3 IPS |
|
|
Object Detection (SP)
|
98% |
1916
152.5 IPS |
|
|
Object Detection (HP)
|
98% |
1834
145.9 IPS |
|
|
Object Detection (Q)
|
83% |
3212
259.5 IPS |
|
|
Face Detection (SP)
|
100% |
3358
39.9 IPS |
|
|
Face Detection (HP)
|
100% |
3530
41.9 IPS |
|
|
Face Detection (Q)
|
95% |
7829
93.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
3831
29.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3803
29.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
7958
72.9 IPS |
|
|
Style Transfer (SP)
|
89% |
8604
11.2 IPS |
|
|
Style Transfer (HP)
|
89% |
6245
8.11 IPS |
|
|
Style Transfer (Q)
|
98% |
17389
22.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1936
71.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1897
70.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3300
122.3 IPS |
|
|
Text Classification (SP)
|
100% |
785
1.05 KIPS |
|
|
Text Classification (HP)
|
99% |
762
1.02 KIPS |
|
|
Text Classification (Q)
|
88% |
1061
1.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
1368
23.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1301
22.4 IPS |
|
|
Machine Translation (Q)
|
50% |
416
14.8 IPS |
