Google Pixel 10
Geekbench AI Score
2717
Single Precision Score
2706
Half Precision Score
4701
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 22 2025 08:48 PM |
| Views | 14 |
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% |
2117
393.7 IPS |
|
|
Image Classification (HP)
|
100% |
2108
392.0 IPS |
|
|
Image Classification (Q)
|
100% |
3961
736.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2424
39.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2368
38.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
4241
69.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4540
5.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
4448
5.19 IPS |
|
|
Pose Estimation (Q)
|
84% |
10877
12.9 IPS |
|
|
Object Detection (SP)
|
98% |
2061
164.0 IPS |
|
|
Object Detection (HP)
|
98% |
2060
163.9 IPS |
|
|
Object Detection (Q)
|
83% |
3304
266.9 IPS |
|
|
Face Detection (SP)
|
100% |
3571
42.4 IPS |
|
|
Face Detection (HP)
|
100% |
3641
43.3 IPS |
|
|
Face Detection (Q)
|
95% |
8248
98.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
3872
29.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
4015
31.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
7861
72.0 IPS |
|
|
Style Transfer (SP)
|
89% |
9955
12.9 IPS |
|
|
Style Transfer (HP)
|
89% |
10037
13.0 IPS |
|
|
Style Transfer (Q)
|
98% |
21089
27.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2096
77.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2074
76.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5205
192.9 IPS |
|
|
Text Classification (SP)
|
100% |
961
1.28 KIPS |
|
|
Text Classification (HP)
|
99% |
961
1.28 KIPS |
|
|
Text Classification (Q)
|
88% |
1437
1.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
1648
28.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1578
27.2 IPS |
|
|
Machine Translation (Q)
|
50% |
855
30.4 IPS |
