Xiaomi 2405CRPFDG
Geekbench AI Score
335
Single Precision Score
326
Half Precision Score
673
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | level555 |
| Upload Date | April 21 2025 10:01 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
158
29.3 IPS |
|
|
Image Classification (HP)
|
100% |
154
28.7 IPS |
|
|
Image Classification (Q)
|
100% |
532
98.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
197
3.19 IPS |
|
|
Image Segmentation (HP)
|
100% |
188
3.05 IPS |
|
|
Image Segmentation (Q)
|
98% |
526
8.55 IPS |
|
|
Pose Estimation (SP)
|
100% |
723
0.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
701
0.82 IPS |
|
|
Pose Estimation (Q)
|
84% |
1216
1.44 IPS |
|
|
Object Detection (SP)
|
100% |
168
13.3 IPS |
|
|
Object Detection (HP)
|
100% |
179
14.2 IPS |
|
|
Object Detection (Q)
|
83% |
517
41.7 IPS |
|
|
Face Detection (SP)
|
100% |
397
4.72 IPS |
|
|
Face Detection (HP)
|
100% |
424
5.04 IPS |
|
|
Face Detection (Q)
|
95% |
983
11.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
573
4.41 IPS |
|
|
Depth Estimation (HP)
|
99% |
456
3.52 IPS |
|
|
Depth Estimation (Q)
|
64% |
1126
10.3 IPS |
|
|
Style Transfer (SP)
|
89% |
1316
1.71 IPS |
|
|
Style Transfer (HP)
|
89% |
1287
1.67 IPS |
|
|
Style Transfer (Q)
|
98% |
2753
3.55 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
316
11.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
304
11.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
684
25.3 IPS |
|
|
Text Classification (SP)
|
100% |
175
234.0 IPS |
|
|
Text Classification (HP)
|
100% |
175
233.3 IPS |
|
|
Text Classification (Q)
|
88% |
277
373.1 IPS |
|
|
Machine Translation (SP)
|
100% |
293
5.05 IPS |
|
|
Machine Translation (HP)
|
100% |
290
5.00 IPS |
|
|
Machine Translation (Q)
|
50% |
190
6.76 IPS |
