Xiaomi 24129PN74C
Geekbench AI Score
2259
Single Precision Score
2297
Half Precision Score
3746
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 18 2025 12:45 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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 | 10.86 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1900
353.3 IPS |
|
|
Image Classification (HP)
|
100% |
1747
324.8 IPS |
|
|
Image Classification (Q)
|
100% |
3106
577.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2123
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1974
32.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2432
39.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2464
2.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
4499
5.25 IPS |
|
|
Pose Estimation (Q)
|
84% |
11743
13.9 IPS |
|
|
Object Detection (SP)
|
98% |
1409
112.2 IPS |
|
|
Object Detection (HP)
|
98% |
1416
112.7 IPS |
|
|
Object Detection (Q)
|
83% |
3225
260.5 IPS |
|
|
Face Detection (SP)
|
100% |
3688
43.8 IPS |
|
|
Face Detection (HP)
|
100% |
3750
44.6 IPS |
|
|
Face Detection (Q)
|
95% |
7616
90.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
3974
30.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3955
30.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
8187
75.0 IPS |
|
|
Style Transfer (SP)
|
89% |
10046
13.0 IPS |
|
|
Style Transfer (HP)
|
89% |
8938
11.6 IPS |
|
|
Style Transfer (Q)
|
98% |
17813
23.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1708
63.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1912
70.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4840
179.4 IPS |
|
|
Text Classification (SP)
|
100% |
799
1.07 KIPS |
|
|
Text Classification (HP)
|
99% |
658
878.2 IPS |
|
|
Text Classification (Q)
|
88% |
794
1.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
1234
21.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1118
19.3 IPS |
|
|
Machine Translation (Q)
|
50% |
446
15.8 IPS |
