Xiaomi 25042PN24C
Geekbench AI Score
2138
Single Precision Score
2124
Half Precision Score
3894
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | onion83 |
| Upload Date | May 29 2025 04:29 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1681
312.6 IPS |
|
|
Image Classification (HP)
|
100% |
1717
319.3 IPS |
|
|
Image Classification (Q)
|
100% |
3420
635.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2026
32.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2002
32.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
3811
62.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3104
3.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
2971
3.47 IPS |
|
|
Pose Estimation (Q)
|
84% |
6909
8.19 IPS |
|
|
Object Detection (SP)
|
98% |
1490
118.6 IPS |
|
|
Object Detection (HP)
|
98% |
1380
109.8 IPS |
|
|
Object Detection (Q)
|
83% |
2672
215.8 IPS |
|
|
Face Detection (SP)
|
100% |
3480
41.3 IPS |
|
|
Face Detection (HP)
|
100% |
3527
41.9 IPS |
|
|
Face Detection (Q)
|
95% |
7401
88.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
2898
22.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2638
20.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
5913
54.2 IPS |
|
|
Style Transfer (SP)
|
89% |
7643
9.92 IPS |
|
|
Style Transfer (HP)
|
89% |
7558
9.81 IPS |
|
|
Style Transfer (Q)
|
98% |
16157
20.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1731
63.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1670
61.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4429
164.1 IPS |
|
|
Text Classification (SP)
|
100% |
746
996.0 IPS |
|
|
Text Classification (HP)
|
99% |
738
985.2 IPS |
|
|
Text Classification (Q)
|
88% |
1394
1.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
1273
21.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1533
26.4 IPS |
|
|
Machine Translation (Q)
|
50% |
765
27.2 IPS |
