Xiaomi 2405CRPFDG
Geekbench AI Score
213
Single Precision Score
214
Half Precision Score
10916
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | level555 |
| Upload Date | April 21 2025 11:02 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
125
23.2 IPS |
|
|
Image Classification (Q)
|
97% |
10434
1.95 KIPS |
|
|
Image Segmentation (SP)
|
100% |
167
2.71 IPS |
|
|
Image Segmentation (HP)
|
100% |
168
2.72 IPS |
|
|
Image Segmentation (Q)
|
98% |
7525
122.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
225
0.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
225
0.26 IPS |
|
|
Pose Estimation (Q)
|
98% |
31343
36.7 IPS |
|
|
Object Detection (SP)
|
100% |
125
9.90 IPS |
|
|
Object Detection (HP)
|
100% |
125
9.91 IPS |
|
|
Object Detection (Q)
|
86% |
4769
383.5 IPS |
|
|
Face Detection (SP)
|
100% |
318
3.78 IPS |
|
|
Face Detection (HP)
|
100% |
320
3.81 IPS |
|
|
Face Detection (Q)
|
97% |
28409
338.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
274
2.11 IPS |
|
|
Depth Estimation (HP)
|
99% |
275
2.12 IPS |
|
|
Depth Estimation (Q)
|
63% |
22699
212.5 IPS |
|
|
Style Transfer (SP)
|
100% |
485
0.62 IPS |
|
|
Style Transfer (HP)
|
100% |
485
0.62 IPS |
|
|
Style Transfer (Q)
|
98% |
72044
92.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
136
5.02 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
137
5.04 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
17775
658.7 IPS |
|
|
Text Classification (SP)
|
100% |
189
251.9 IPS |
|
|
Text Classification (HP)
|
100% |
190
253.4 IPS |
|
|
Text Classification (Q)
|
93% |
3216
4.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
308
5.30 IPS |
|
|
Machine Translation (HP)
|
100% |
308
5.31 IPS |
|
|
Machine Translation (Q)
|
55% |
771
20.2 IPS |
