Google Pixel 10
Geekbench AI Score
1811
Single Precision Score
1884
Half Precision Score
3102
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | January 22 2026 10:00 AM |
| Views | 7 |
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 | 11.29 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2122
394.6 IPS |
|
|
Image Classification (HP)
|
100% |
2116
393.6 IPS |
|
|
Image Classification (Q)
|
100% |
3575
664.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2190
35.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2398
38.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
4009
65.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3541
4.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
3151
3.68 IPS |
|
|
Pose Estimation (Q)
|
84% |
7038
8.35 IPS |
|
|
Object Detection (SP)
|
98% |
1131
90.0 IPS |
|
|
Object Detection (HP)
|
98% |
1240
98.7 IPS |
|
|
Object Detection (Q)
|
83% |
2032
164.1 IPS |
|
|
Face Detection (SP)
|
100% |
2107
25.0 IPS |
|
|
Face Detection (HP)
|
100% |
2205
26.2 IPS |
|
|
Face Detection (Q)
|
95% |
4917
58.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
2504
19.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2501
19.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
4875
44.7 IPS |
|
|
Style Transfer (SP)
|
89% |
5885
7.64 IPS |
|
|
Style Transfer (HP)
|
89% |
5906
7.67 IPS |
|
|
Style Transfer (Q)
|
98% |
13875
17.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1330
49.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1396
51.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3591
133.1 IPS |
|
|
Text Classification (SP)
|
100% |
463
618.1 IPS |
|
|
Text Classification (HP)
|
99% |
640
854.4 IPS |
|
|
Text Classification (Q)
|
88% |
997
1.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
1072
18.5 IPS |
|
|
Machine Translation (HP)
|
100% |
981
16.9 IPS |
|
|
Machine Translation (Q)
|
50% |
339
12.0 IPS |
