Xiaomi 24129PN74G
Geekbench AI Score
2083
Single Precision Score
2074
Half Precision Score
3348
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 09 2025 08:25 AM |
| Views | 3 |
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% |
1287
239.3 IPS |
|
|
Image Classification (HP)
|
100% |
1450
269.6 IPS |
|
|
Image Classification (Q)
|
100% |
2902
539.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1875
30.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1723
27.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
3577
58.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4164
4.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
4150
4.84 IPS |
|
|
Pose Estimation (Q)
|
84% |
10872
12.9 IPS |
|
|
Object Detection (SP)
|
98% |
1276
101.5 IPS |
|
|
Object Detection (HP)
|
98% |
1282
102.0 IPS |
|
|
Object Detection (Q)
|
83% |
2949
238.2 IPS |
|
|
Face Detection (SP)
|
100% |
3580
42.5 IPS |
|
|
Face Detection (HP)
|
100% |
3519
41.8 IPS |
|
|
Face Detection (Q)
|
95% |
6811
81.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
3341
25.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3505
27.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
7566
69.3 IPS |
|
|
Style Transfer (SP)
|
89% |
8946
11.6 IPS |
|
|
Style Transfer (HP)
|
89% |
8698
11.3 IPS |
|
|
Style Transfer (Q)
|
98% |
18697
24.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1800
66.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1787
66.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3878
143.7 IPS |
|
|
Text Classification (SP)
|
100% |
572
763.3 IPS |
|
|
Text Classification (HP)
|
99% |
573
764.9 IPS |
|
|
Text Classification (Q)
|
88% |
365
492.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1090
18.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1009
17.4 IPS |
|
|
Machine Translation (Q)
|
50% |
391
13.9 IPS |
