Xiaomi 25042PN24C
Geekbench AI Score
2996
Single Precision Score
2910
Half Precision Score
4981
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | May 28 2025 07:44 AM |
| Views | 3 |
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% |
2004
372.6 IPS |
|
|
Image Classification (HP)
|
100% |
1991
370.3 IPS |
|
|
Image Classification (Q)
|
100% |
4325
804.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2833
45.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2670
43.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
4805
78.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4721
5.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
4593
5.36 IPS |
|
|
Pose Estimation (Q)
|
84% |
10727
12.7 IPS |
|
|
Object Detection (SP)
|
98% |
2089
166.2 IPS |
|
|
Object Detection (HP)
|
98% |
2143
170.5 IPS |
|
|
Object Detection (Q)
|
83% |
3436
277.6 IPS |
|
|
Face Detection (SP)
|
100% |
4405
52.3 IPS |
|
|
Face Detection (HP)
|
100% |
4379
52.0 IPS |
|
|
Face Detection (Q)
|
95% |
8799
105.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
4473
34.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3955
30.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
7942
72.7 IPS |
|
|
Style Transfer (SP)
|
89% |
11336
14.7 IPS |
|
|
Style Transfer (HP)
|
89% |
11228
14.6 IPS |
|
|
Style Transfer (Q)
|
98% |
22058
28.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2278
84.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2209
81.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5815
215.5 IPS |
|
|
Text Classification (SP)
|
100% |
1081
1.44 KIPS |
|
|
Text Classification (HP)
|
99% |
1058
1.41 KIPS |
|
|
Text Classification (Q)
|
88% |
1555
2.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
1896
32.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1835
31.6 IPS |
|
|
Machine Translation (Q)
|
50% |
882
31.3 IPS |
