Xiaomi 2410FPCC5G
Geekbench AI Score
220
Single Precision Score
218
Half Precision Score
312
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 26 2024 10:25 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Xiaomi 2410FPCC5G |
| Model ID | Xiaomi 2410FPCC5G |
| Motherboard | lake |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 3 part 3338 revision 1 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 6 Cores @ 1.70 GHz |
| Cluster 2 | 2 Cores @ 2.00 GHz |
| Memory Information | |
|---|---|
| Size | 5.56 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
102
19.0 IPS |
|
|
Image Classification (HP)
|
100% |
100
18.7 IPS |
|
|
Image Classification (Q)
|
100% |
212
39.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
119
1.93 IPS |
|
|
Image Segmentation (HP)
|
100% |
119
1.93 IPS |
|
|
Image Segmentation (Q)
|
98% |
262
4.27 IPS |
|
|
Pose Estimation (SP)
|
100% |
465
0.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
468
0.55 IPS |
|
|
Pose Estimation (Q)
|
84% |
416
0.49 IPS |
|
|
Object Detection (SP)
|
100% |
95
7.57 IPS |
|
|
Object Detection (HP)
|
100% |
91
7.18 IPS |
|
|
Object Detection (Q)
|
83% |
204
16.5 IPS |
|
|
Face Detection (SP)
|
100% |
303
3.60 IPS |
|
|
Face Detection (HP)
|
100% |
310
3.68 IPS |
|
|
Face Detection (Q)
|
95% |
570
6.80 IPS |
|
|
Depth Estimation (SP)
|
100% |
401
3.09 IPS |
|
|
Depth Estimation (HP)
|
99% |
399
3.07 IPS |
|
|
Depth Estimation (Q)
|
64% |
459
4.20 IPS |
|
|
Style Transfer (SP)
|
89% |
804
1.04 IPS |
|
|
Style Transfer (HP)
|
89% |
810
1.05 IPS |
|
|
Style Transfer (Q)
|
98% |
1059
1.37 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
198
7.33 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
194
7.17 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
251
9.28 IPS |
|
|
Text Classification (SP)
|
100% |
117
155.9 IPS |
|
|
Text Classification (HP)
|
100% |
116
154.6 IPS |
|
|
Text Classification (Q)
|
88% |
191
257.0 IPS |
|
|
Machine Translation (SP)
|
100% |
221
3.81 IPS |
|
|
Machine Translation (HP)
|
100% |
216
3.72 IPS |
|
|
Machine Translation (Q)
|
50% |
144
5.12 IPS |
