Xiaomi 2405CPCFBG
Geekbench AI Score
335
Single Precision Score
334
Half Precision Score
651
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 23 2025 09:12 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Xiaomi 2405CPCFBG |
| Model ID | Xiaomi 2405CPCFBG |
| Motherboard | parrot |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 2 |
| Base Frequency | 1.96 GHz |
| Cluster 1 | 4 Cores @ 1.96 GHz |
| Cluster 2 | 4 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 7.53 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
172
32.0 IPS |
|
|
Image Classification (HP)
|
100% |
155
28.8 IPS |
|
|
Image Classification (Q)
|
100% |
469
87.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
193
3.13 IPS |
|
|
Image Segmentation (HP)
|
100% |
193
3.12 IPS |
|
|
Image Segmentation (Q)
|
98% |
489
7.95 IPS |
|
|
Pose Estimation (SP)
|
100% |
721
0.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
718
0.84 IPS |
|
|
Pose Estimation (Q)
|
84% |
1217
1.44 IPS |
|
|
Object Detection (SP)
|
100% |
166
13.2 IPS |
|
|
Object Detection (HP)
|
100% |
172
13.7 IPS |
|
|
Object Detection (Q)
|
83% |
509
41.1 IPS |
|
|
Face Detection (SP)
|
100% |
409
4.85 IPS |
|
|
Face Detection (HP)
|
100% |
429
5.09 IPS |
|
|
Face Detection (Q)
|
95% |
901
10.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
530
4.09 IPS |
|
|
Depth Estimation (HP)
|
99% |
554
4.27 IPS |
|
|
Depth Estimation (Q)
|
64% |
1104
10.1 IPS |
|
|
Style Transfer (SP)
|
89% |
1290
1.67 IPS |
|
|
Style Transfer (HP)
|
89% |
1289
1.67 IPS |
|
|
Style Transfer (Q)
|
98% |
2791
3.60 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
308
11.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
307
11.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
682
25.3 IPS |
|
|
Text Classification (SP)
|
100% |
175
233.3 IPS |
|
|
Text Classification (HP)
|
100% |
173
231.3 IPS |
|
|
Text Classification (Q)
|
88% |
277
373.3 IPS |
|
|
Machine Translation (SP)
|
100% |
298
5.14 IPS |
|
|
Machine Translation (HP)
|
100% |
296
5.10 IPS |
|
|
Machine Translation (Q)
|
50% |
185
6.58 IPS |
