Xiaomi 25042PN24C
Geekbench AI Score
332
Single Precision Score
341
Half Precision Score
960
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | Ichigo |
| Upload Date | July 02 2025 03:57 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Xiaomi 25042PN24C |
| Model ID | Xiaomi 25042PN24C |
| Motherboard | O1_asic |
| Governor | xres |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3461 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 2 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 1.89 GHz |
| Cluster 3 | 4 Cores @ 3.40 GHz |
| Cluster 4 | 2 Cores @ 3.90 GHz |
| Memory Information | |
|---|---|
| Size | 15.21 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
287
53.4 IPS |
|
|
Image Classification (HP)
|
100% |
307
57.1 IPS |
|
|
Image Classification (Q)
|
99% |
873
162.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
393
6.37 IPS |
|
|
Image Segmentation (HP)
|
100% |
388
6.30 IPS |
|
|
Image Segmentation (Q)
|
98% |
884
14.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
490
0.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
491
0.57 IPS |
|
|
Pose Estimation (Q)
|
98% |
2030
2.38 IPS |
|
|
Object Detection (SP)
|
100% |
288
22.8 IPS |
|
|
Object Detection (HP)
|
100% |
290
23.0 IPS |
|
|
Object Detection (Q)
|
87% |
896
71.9 IPS |
|
|
Face Detection (SP)
|
100% |
412
4.90 IPS |
|
|
Face Detection (HP)
|
100% |
839
9.97 IPS |
|
|
Face Detection (Q)
|
97% |
1969
23.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
638
4.92 IPS |
|
|
Depth Estimation (HP)
|
99% |
392
3.02 IPS |
|
|
Depth Estimation (Q)
|
64% |
1018
9.24 IPS |
|
|
Style Transfer (SP)
|
100% |
486
0.63 IPS |
|
|
Style Transfer (HP)
|
100% |
487
0.63 IPS |
|
|
Style Transfer (Q)
|
98% |
1747
2.25 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
138
5.08 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
138
5.08 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
526
19.5 IPS |
|
|
Text Classification (SP)
|
100% |
179
238.5 IPS |
|
|
Text Classification (HP)
|
100% |
179
238.8 IPS |
|
|
Text Classification (Q)
|
91% |
401
539.5 IPS |
|
|
Machine Translation (SP)
|
100% |
324
5.58 IPS |
|
|
Machine Translation (HP)
|
100% |
325
5.60 IPS |
|
|
Machine Translation (Q)
|
57% |
647
15.8 IPS |
