Xiaomi 24129PN74I
Geekbench AI Score
2220
Single Precision Score
2289
Half Precision Score
3657
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 22 2025 05:44 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1320
245.5 IPS |
|
|
Image Classification (HP)
|
100% |
1747
324.9 IPS |
|
|
Image Classification (Q)
|
100% |
2815
523.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1857
30.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1798
29.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3882
63.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4460
5.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
4514
5.27 IPS |
|
|
Pose Estimation (Q)
|
84% |
11563
13.7 IPS |
|
|
Object Detection (SP)
|
98% |
1338
106.5 IPS |
|
|
Object Detection (HP)
|
98% |
1475
117.3 IPS |
|
|
Object Detection (Q)
|
83% |
3101
250.5 IPS |
|
|
Face Detection (SP)
|
100% |
3764
44.7 IPS |
|
|
Face Detection (HP)
|
100% |
3709
44.1 IPS |
|
|
Face Detection (Q)
|
95% |
7184
85.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
3928
30.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3754
29.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
7622
69.8 IPS |
|
|
Style Transfer (SP)
|
89% |
8937
11.6 IPS |
|
|
Style Transfer (HP)
|
89% |
8960
11.6 IPS |
|
|
Style Transfer (Q)
|
98% |
18170
23.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1785
65.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1841
68.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3658
135.5 IPS |
|
|
Text Classification (SP)
|
100% |
751
1.00 KIPS |
|
|
Text Classification (HP)
|
99% |
744
992.6 IPS |
|
|
Text Classification (Q)
|
88% |
618
833.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1126
19.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1105
19.0 IPS |
|
|
Machine Translation (Q)
|
50% |
486
17.3 IPS |
