Google Pixel 10
Geekbench AI Score
1640
Single Precision Score
274
Half Precision Score
1881
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | January 29 2026 08:29 AM |
| Views | 5 |
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% |
1207
224.5 IPS |
|
|
Image Classification (HP)
|
100% |
57
10.6 IPS |
|
|
Image Classification (Q)
|
100% |
1760
327.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1806
29.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
333
5.40 IPS |
|
|
Image Segmentation (Q)
|
98% |
2457
40.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3483
4.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
1318
1.54 IPS |
|
|
Pose Estimation (Q)
|
84% |
7100
8.42 IPS |
|
|
Object Detection (SP)
|
98% |
1197
95.2 IPS |
|
|
Object Detection (HP)
|
100% |
65
5.20 IPS |
|
|
Object Detection (Q)
|
83% |
989
79.9 IPS |
|
|
Face Detection (SP)
|
100% |
1531
18.2 IPS |
|
|
Face Detection (HP)
|
100% |
369
4.39 IPS |
|
|
Face Detection (Q)
|
95% |
2454
29.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
2419
18.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
489
3.78 IPS |
|
|
Depth Estimation (Q)
|
64% |
2714
24.9 IPS |
|
|
Style Transfer (SP)
|
89% |
5079
6.59 IPS |
|
|
Style Transfer (HP)
|
90% |
2029
2.63 IPS |
|
|
Style Transfer (Q)
|
98% |
12483
16.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1378
50.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
175
6.45 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2226
82.5 IPS |
|
|
Text Classification (SP)
|
100% |
694
925.9 IPS |
|
|
Text Classification (HP)
|
99% |
642
857.3 IPS |
|
|
Text Classification (Q)
|
88% |
494
666.0 IPS |
|
|
Machine Translation (SP)
|
100% |
864
14.9 IPS |
|
|
Machine Translation (HP)
|
100% |
36
0.61 IPS |
|
|
Machine Translation (Q)
|
50% |
200
7.08 IPS |
