Google Pixel 10
Geekbench AI Score
1976
Single Precision Score
2021
Half Precision Score
3285
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | konainm |
| Upload Date | January 23 2026 05:39 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Google Tensor G5 |
| 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 | 10.93 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1810
336.6 IPS |
|
|
Image Classification (HP)
|
100% |
1987
369.6 IPS |
|
|
Image Classification (Q)
|
100% |
3584
666.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2394
38.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2433
39.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
4149
67.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4268
4.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
4249
4.96 IPS |
|
|
Pose Estimation (Q)
|
84% |
10181
12.1 IPS |
|
|
Object Detection (SP)
|
98% |
1781
141.7 IPS |
|
|
Object Detection (HP)
|
98% |
1946
154.9 IPS |
|
|
Object Detection (Q)
|
83% |
3168
255.9 IPS |
|
|
Face Detection (SP)
|
100% |
3054
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
3183
37.8 IPS |
|
|
Face Detection (Q)
|
95% |
6974
83.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
3176
24.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2849
22.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
5123
46.9 IPS |
|
|
Style Transfer (SP)
|
89% |
3959
5.14 IPS |
|
|
Style Transfer (HP)
|
89% |
4225
5.49 IPS |
|
|
Style Transfer (Q)
|
98% |
9151
11.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1133
41.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1192
44.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3387
125.5 IPS |
|
|
Text Classification (SP)
|
100% |
592
790.5 IPS |
|
|
Text Classification (HP)
|
99% |
601
801.9 IPS |
|
|
Text Classification (Q)
|
88% |
735
991.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1071
18.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1040
17.9 IPS |
|
|
Machine Translation (Q)
|
50% |
375
13.3 IPS |
