Xiaomi 24129PN74G
Geekbench AI Score
2438
Single Precision Score
2535
Half Precision Score
3728
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 03 2025 05:05 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Xiaomi 24129PN74G |
| Model ID | Xiaomi 24129PN74G |
| 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 | 10.86 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1876
349.0 IPS |
|
|
Image Classification (HP)
|
100% |
1940
360.7 IPS |
|
|
Image Classification (Q)
|
100% |
2170
403.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2106
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2188
35.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2926
47.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3671
4.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
4600
5.37 IPS |
|
|
Pose Estimation (Q)
|
84% |
11454
13.6 IPS |
|
|
Object Detection (SP)
|
98% |
1599
127.2 IPS |
|
|
Object Detection (HP)
|
98% |
1605
127.7 IPS |
|
|
Object Detection (Q)
|
83% |
3322
268.4 IPS |
|
|
Face Detection (SP)
|
100% |
4077
48.4 IPS |
|
|
Face Detection (HP)
|
100% |
4163
49.5 IPS |
|
|
Face Detection (Q)
|
95% |
8734
104.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
4164
32.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
4499
34.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
8039
73.6 IPS |
|
|
Style Transfer (SP)
|
89% |
10334
13.4 IPS |
|
|
Style Transfer (HP)
|
89% |
10273
13.3 IPS |
|
|
Style Transfer (Q)
|
98% |
19108
24.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1883
69.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1923
71.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4745
175.8 IPS |
|
|
Text Classification (SP)
|
100% |
792
1.06 KIPS |
|
|
Text Classification (HP)
|
99% |
793
1.06 KIPS |
|
|
Text Classification (Q)
|
88% |
760
1.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
1224
21.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1194
20.6 IPS |
|
|
Machine Translation (Q)
|
50% |
444
15.7 IPS |
