Google Pixel 10
Geekbench AI Score
2327
Single Precision Score
2368
Half Precision Score
3764
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | September 03 2025 10:37 PM |
| Views | 3 |
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% |
1859
345.7 IPS |
|
|
Image Classification (HP)
|
100% |
2103
391.0 IPS |
|
|
Image Classification (Q)
|
100% |
3584
666.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2457
39.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2508
40.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
4244
69.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4350
5.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
4385
5.12 IPS |
|
|
Pose Estimation (Q)
|
84% |
10287
12.2 IPS |
|
|
Object Detection (SP)
|
98% |
1849
147.2 IPS |
|
|
Object Detection (HP)
|
98% |
1874
149.1 IPS |
|
|
Object Detection (Q)
|
83% |
2839
229.3 IPS |
|
|
Face Detection (SP)
|
100% |
3706
44.0 IPS |
|
|
Face Detection (HP)
|
100% |
3575
42.5 IPS |
|
|
Face Detection (Q)
|
95% |
7790
93.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
3803
29.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3664
28.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
6482
59.4 IPS |
|
|
Style Transfer (SP)
|
89% |
7724
10.0 IPS |
|
|
Style Transfer (HP)
|
89% |
9140
11.9 IPS |
|
|
Style Transfer (Q)
|
98% |
18065
23.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1761
65.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1682
62.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3983
147.6 IPS |
|
|
Text Classification (SP)
|
100% |
637
849.6 IPS |
|
|
Text Classification (HP)
|
99% |
633
845.3 IPS |
|
|
Text Classification (Q)
|
88% |
949
1.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
1042
18.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1007
17.3 IPS |
|
|
Machine Translation (Q)
|
50% |
373
13.3 IPS |
