Xiaomi 24129PN74G
Geekbench AI Score
2203
Single Precision Score
2164
Half Precision Score
3553
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Jenkie |
| Upload Date | June 24 2025 10:21 PM |
| Views | 7 |
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% |
1889
351.4 IPS |
|
|
Image Classification (HP)
|
100% |
1733
322.2 IPS |
|
|
Image Classification (Q)
|
100% |
2952
549.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1839
29.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1962
31.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
3875
63.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4348
5.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
4208
4.91 IPS |
|
|
Pose Estimation (Q)
|
84% |
11091
13.2 IPS |
|
|
Object Detection (SP)
|
98% |
1201
95.6 IPS |
|
|
Object Detection (HP)
|
98% |
1216
96.7 IPS |
|
|
Object Detection (Q)
|
83% |
2960
239.1 IPS |
|
|
Face Detection (SP)
|
100% |
3428
40.7 IPS |
|
|
Face Detection (HP)
|
100% |
3355
39.9 IPS |
|
|
Face Detection (Q)
|
95% |
6893
82.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
3730
28.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3636
28.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
7940
72.7 IPS |
|
|
Style Transfer (SP)
|
89% |
8902
11.6 IPS |
|
|
Style Transfer (HP)
|
89% |
9138
11.9 IPS |
|
|
Style Transfer (Q)
|
98% |
18231
23.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1689
62.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1719
63.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3456
128.1 IPS |
|
|
Text Classification (SP)
|
100% |
743
991.1 IPS |
|
|
Text Classification (HP)
|
99% |
664
886.5 IPS |
|
|
Text Classification (Q)
|
88% |
633
853.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1042
17.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1020
17.6 IPS |
|
|
Machine Translation (Q)
|
50% |
392
13.9 IPS |
