Google Pixel 10
Geekbench AI Score
2232
Single Precision Score
2211
Half Precision Score
3728
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 12 2025 07:03 AM |
| Views | 1 |
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% |
2108
392.0 IPS |
|
|
Image Classification (HP)
|
100% |
2129
395.9 IPS |
|
|
Image Classification (Q)
|
100% |
3903
725.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2377
38.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2450
39.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
4252
69.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4335
5.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
4276
4.99 IPS |
|
|
Pose Estimation (Q)
|
84% |
10109
12.0 IPS |
|
|
Object Detection (SP)
|
98% |
1833
145.9 IPS |
|
|
Object Detection (HP)
|
98% |
1836
146.1 IPS |
|
|
Object Detection (Q)
|
83% |
3173
256.3 IPS |
|
|
Face Detection (SP)
|
100% |
3480
41.3 IPS |
|
|
Face Detection (HP)
|
100% |
3448
41.0 IPS |
|
|
Face Detection (Q)
|
95% |
6896
82.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
3615
27.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3924
30.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
7341
67.2 IPS |
|
|
Style Transfer (SP)
|
89% |
6623
8.60 IPS |
|
|
Style Transfer (HP)
|
89% |
6003
7.79 IPS |
|
|
Style Transfer (Q)
|
98% |
9111
11.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1457
53.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1353
50.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3261
120.8 IPS |
|
|
Text Classification (SP)
|
100% |
598
798.2 IPS |
|
|
Text Classification (HP)
|
99% |
597
796.3 IPS |
|
|
Text Classification (Q)
|
88% |
719
970.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1062
18.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1040
17.9 IPS |
|
|
Machine Translation (Q)
|
50% |
901
32.0 IPS |
