Xiaomi 2405CRPFDG
Geekbench AI Score
210
Single Precision Score
211
Half Precision Score
514
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | level555 |
| Upload Date | April 21 2025 10:46 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Xiaomi 2405CRPFDG |
| Model ID | Xiaomi 2405CRPFDG |
| 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% |
123
22.8 IPS |
|
|
Image Classification (HP)
|
100% |
123
22.9 IPS |
|
|
Image Classification (Q)
|
99% |
338
63.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
166
2.70 IPS |
|
|
Image Segmentation (HP)
|
100% |
168
2.72 IPS |
|
|
Image Segmentation (Q)
|
98% |
378
6.14 IPS |
|
|
Pose Estimation (SP)
|
100% |
225
0.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
224
0.26 IPS |
|
|
Pose Estimation (Q)
|
98% |
859
1.01 IPS |
|
|
Object Detection (SP)
|
100% |
125
9.88 IPS |
|
|
Object Detection (HP)
|
100% |
125
9.89 IPS |
|
|
Object Detection (Q)
|
87% |
363
29.1 IPS |
|
|
Face Detection (SP)
|
100% |
310
3.68 IPS |
|
|
Face Detection (HP)
|
100% |
312
3.71 IPS |
|
|
Face Detection (Q)
|
97% |
742
8.85 IPS |
|
|
Depth Estimation (SP)
|
100% |
275
2.12 IPS |
|
|
Depth Estimation (HP)
|
99% |
273
2.10 IPS |
|
|
Depth Estimation (Q)
|
64% |
692
6.28 IPS |
|
|
Style Transfer (SP)
|
100% |
484
0.62 IPS |
|
|
Style Transfer (HP)
|
100% |
483
0.62 IPS |
|
|
Style Transfer (Q)
|
98% |
1345
1.73 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
137
5.07 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
138
5.10 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
482
17.9 IPS |
|
|
Text Classification (SP)
|
100% |
178
238.2 IPS |
|
|
Text Classification (HP)
|
100% |
179
238.3 IPS |
|
|
Text Classification (Q)
|
91% |
346
464.7 IPS |
|
|
Machine Translation (SP)
|
100% |
300
5.17 IPS |
|
|
Machine Translation (HP)
|
100% |
301
5.18 IPS |
|
|
Machine Translation (Q)
|
57% |
283
6.92 IPS |
