Xiaomi 25042PN24C
Geekbench AI Score
499
Single Precision Score
419
Half Precision Score
1258
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | onion83 |
| Upload Date | May 29 2025 04:42 AM |
| Views | 9 |
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% |
293
54.4 IPS |
|
|
Image Classification (HP)
|
100% |
300
55.8 IPS |
|
|
Image Classification (Q)
|
99% |
868
161.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
388
6.29 IPS |
|
|
Image Segmentation (HP)
|
100% |
389
6.30 IPS |
|
|
Image Segmentation (Q)
|
98% |
875
14.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
490
0.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
187
0.22 IPS |
|
|
Pose Estimation (Q)
|
98% |
2148
2.51 IPS |
|
|
Object Detection (SP)
|
100% |
293
23.2 IPS |
|
|
Object Detection (HP)
|
100% |
127
10.1 IPS |
|
|
Object Detection (Q)
|
87% |
983
78.8 IPS |
|
|
Face Detection (SP)
|
100% |
850
10.1 IPS |
|
|
Face Detection (HP)
|
100% |
837
9.95 IPS |
|
|
Face Detection (Q)
|
97% |
2029
24.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
647
4.99 IPS |
|
|
Depth Estimation (HP)
|
99% |
661
5.09 IPS |
|
|
Depth Estimation (Q)
|
64% |
1658
15.0 IPS |
|
|
Style Transfer (SP)
|
100% |
1059
1.36 IPS |
|
|
Style Transfer (HP)
|
100% |
1056
1.36 IPS |
|
|
Style Transfer (Q)
|
98% |
2991
3.86 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
321
11.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
324
12.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1232
45.6 IPS |
|
|
Text Classification (SP)
|
100% |
434
579.9 IPS |
|
|
Text Classification (HP)
|
100% |
437
583.8 IPS |
|
|
Text Classification (Q)
|
91% |
807
1.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
731
12.6 IPS |
|
|
Machine Translation (HP)
|
100% |
732
12.6 IPS |
|
|
Machine Translation (Q)
|
57% |
620
15.2 IPS |
