Xiaomi 2405CPX3DC
Geekbench AI Score
267
Single Precision Score
234
Half Precision Score
531
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 19 2024 08:31 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Xiaomi 2405CPX3DC |
| Model ID | Xiaomi 2405CPX3DC |
| Motherboard | ruyi |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.26 GHz |
| Cluster 1 | 2 Cores @ 2.27 GHz |
| Cluster 2 | 2 Cores @ 2.96 GHz |
| Cluster 3 | 3 Cores @ 3.15 GHz |
| Cluster 4 | 1 Core @ 3.30 GHz |
| Memory Information | |
|---|---|
| Size | 10.92 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
303
56.3 IPS |
|
|
Image Classification (HP)
|
100% |
300
55.9 IPS |
|
|
Image Classification (Q)
|
99% |
773
144.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
369
5.98 IPS |
|
|
Image Segmentation (HP)
|
100% |
369
5.99 IPS |
|
|
Image Segmentation (Q)
|
98% |
758
12.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
471
0.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
194
0.23 IPS |
|
|
Pose Estimation (Q)
|
98% |
825
0.97 IPS |
|
|
Object Detection (SP)
|
100% |
146
11.6 IPS |
|
|
Object Detection (HP)
|
100% |
107
8.48 IPS |
|
|
Object Detection (Q)
|
87% |
359
28.8 IPS |
|
|
Face Detection (SP)
|
100% |
409
4.86 IPS |
|
|
Face Detection (HP)
|
100% |
327
3.89 IPS |
|
|
Face Detection (Q)
|
97% |
618
7.37 IPS |
|
|
Depth Estimation (SP)
|
100% |
257
1.98 IPS |
|
|
Depth Estimation (HP)
|
99% |
256
1.98 IPS |
|
|
Depth Estimation (Q)
|
64% |
580
5.27 IPS |
|
|
Style Transfer (SP)
|
100% |
455
0.59 IPS |
|
|
Style Transfer (HP)
|
100% |
517
0.66 IPS |
|
|
Style Transfer (Q)
|
98% |
1278
1.65 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
122
4.49 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
122
4.49 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
415
15.4 IPS |
|
|
Text Classification (SP)
|
100% |
151
201.1 IPS |
|
|
Text Classification (HP)
|
100% |
150
200.5 IPS |
|
|
Text Classification (Q)
|
91% |
246
330.2 IPS |
|
|
Machine Translation (SP)
|
100% |
276
4.76 IPS |
|
|
Machine Translation (HP)
|
100% |
277
4.77 IPS |
|
|
Machine Translation (Q)
|
57% |
220
5.37 IPS |
