Xiaomi 2405CPX3DC
Geekbench AI Score
749
Single Precision Score
1137
Half Precision Score
1047
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 19 2024 07:34 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
655
121.8 IPS |
|
|
Image Classification (HP)
|
100% |
618
115.0 IPS |
|
|
Image Classification (Q)
|
96% |
484
90.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1107
17.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2072
33.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1075
17.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
951
1.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
1974
2.30 IPS |
|
|
Pose Estimation (Q)
|
96% |
1953
2.29 IPS |
|
|
Object Detection (SP)
|
100% |
488
38.7 IPS |
|
|
Object Detection (HP)
|
100% |
737
58.5 IPS |
|
|
Object Detection (Q)
|
87% |
738
59.2 IPS |
|
|
Face Detection (SP)
|
100% |
1783
21.2 IPS |
|
|
Face Detection (HP)
|
100% |
2854
33.9 IPS |
|
|
Face Detection (Q)
|
97% |
2840
33.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1332
10.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2463
19.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
2087
19.4 IPS |
|
|
Style Transfer (SP)
|
100% |
4259
5.47 IPS |
|
|
Style Transfer (HP)
|
100% |
7050
9.06 IPS |
|
|
Style Transfer (Q)
|
98% |
6922
8.93 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
447
16.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1071
39.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1022
37.9 IPS |
|
|
Text Classification (SP)
|
100% |
141
188.5 IPS |
|
|
Text Classification (HP)
|
100% |
141
188.2 IPS |
|
|
Text Classification (Q)
|
91% |
230
309.1 IPS |
|
|
Machine Translation (SP)
|
100% |
260
4.47 IPS |
|
|
Machine Translation (HP)
|
100% |
261
4.50 IPS |
|
|
Machine Translation (Q)
|
57% |
220
5.37 IPS |
