Xiaomi 24129PN74C
Geekbench AI Score
302
Single Precision Score
315
Half Precision Score
661
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Astra |
| Upload Date | May 13 2025 03:05 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Xiaomi 24129PN74C |
| Model ID | Xiaomi 24129PN74C |
| Motherboard | sun |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | Qualcomm ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 3 part 1 revision 4 |
| Base Frequency | 3.53 GHz |
| Cluster 1 | 6 Cores @ 3.53 GHz |
| Cluster 2 | 2 Cores @ 4.32 GHz |
| Memory Information | |
|---|---|
| Size | 14.76 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
135
25.1 IPS |
|
|
Image Classification (HP)
|
100% |
211
39.2 IPS |
|
|
Image Classification (Q)
|
99% |
360
67.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
278
4.51 IPS |
|
|
Image Segmentation (HP)
|
100% |
281
4.55 IPS |
|
|
Image Segmentation (Q)
|
98% |
373
6.07 IPS |
|
|
Pose Estimation (SP)
|
100% |
383
0.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
381
0.44 IPS |
|
|
Pose Estimation (Q)
|
98% |
1462
1.71 IPS |
|
|
Object Detection (SP)
|
100% |
210
16.6 IPS |
|
|
Object Detection (HP)
|
100% |
136
10.8 IPS |
|
|
Object Detection (Q)
|
87% |
392
31.4 IPS |
|
|
Face Detection (SP)
|
100% |
378
4.49 IPS |
|
|
Face Detection (HP)
|
100% |
379
4.50 IPS |
|
|
Face Detection (Q)
|
97% |
814
9.71 IPS |
|
|
Depth Estimation (SP)
|
100% |
321
2.47 IPS |
|
|
Depth Estimation (HP)
|
99% |
321
2.47 IPS |
|
|
Depth Estimation (Q)
|
64% |
825
7.49 IPS |
|
|
Style Transfer (SP)
|
100% |
598
0.77 IPS |
|
|
Style Transfer (HP)
|
100% |
596
0.77 IPS |
|
|
Style Transfer (Q)
|
98% |
2288
2.95 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
247
9.11 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
245
9.03 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
880
32.6 IPS |
|
|
Text Classification (SP)
|
100% |
201
268.1 IPS |
|
|
Text Classification (HP)
|
100% |
321
428.7 IPS |
|
|
Text Classification (Q)
|
91% |
382
514.1 IPS |
|
|
Machine Translation (SP)
|
100% |
597
10.3 IPS |
|
|
Machine Translation (HP)
|
100% |
550
9.47 IPS |
|
|
Machine Translation (Q)
|
57% |
404
9.88 IPS |
