Xiaomi 24129PN74I
Geekbench AI Score
970
Single Precision Score
1958
Half Precision Score
1956
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 22 2025 05:48 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Xiaomi 24129PN74I |
| Model ID | Xiaomi 24129PN74I |
| 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% |
649
120.7 IPS |
|
|
Image Classification (HP)
|
100% |
1582
294.2 IPS |
|
|
Image Classification (Q)
|
99% |
1539
287.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1503
24.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2873
46.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2296
37.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1474
1.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
2492
2.91 IPS |
|
|
Pose Estimation (Q)
|
96% |
2497
2.93 IPS |
|
|
Object Detection (SP)
|
100% |
501
39.8 IPS |
|
|
Object Detection (HP)
|
100% |
1209
95.9 IPS |
|
|
Object Detection (Q)
|
86% |
1201
96.5 IPS |
|
|
Face Detection (SP)
|
100% |
2852
33.9 IPS |
|
|
Face Detection (HP)
|
100% |
5429
64.5 IPS |
|
|
Face Detection (Q)
|
97% |
4995
59.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1458
11.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
4114
31.8 IPS |
|
|
Depth Estimation (Q)
|
63% |
3405
31.7 IPS |
|
|
Style Transfer (SP)
|
100% |
5167
6.64 IPS |
|
|
Style Transfer (HP)
|
100% |
11056
14.2 IPS |
|
|
Style Transfer (Q)
|
98% |
11034
14.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
627
23.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1938
71.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1920
71.2 IPS |
|
|
Text Classification (SP)
|
100% |
230
306.4 IPS |
|
|
Text Classification (HP)
|
100% |
265
353.1 IPS |
|
|
Text Classification (Q)
|
91% |
617
829.1 IPS |
|
|
Machine Translation (SP)
|
100% |
332
5.72 IPS |
|
|
Machine Translation (HP)
|
100% |
478
8.23 IPS |
|
|
Machine Translation (Q)
|
57% |
349
8.53 IPS |
