Xiaomi 24129PN74G
Geekbench AI Score
2334
Single Precision Score
2560
Half Precision Score
3932
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 09 2025 07:53 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% |
1447
269.2 IPS |
|
|
Image Classification (HP)
|
100% |
1729
321.6 IPS |
|
|
Image Classification (Q)
|
100% |
2355
438.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2136
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2184
35.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2971
48.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2529
2.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
5014
5.85 IPS |
|
|
Pose Estimation (Q)
|
84% |
12540
14.9 IPS |
|
|
Object Detection (SP)
|
98% |
1609
128.0 IPS |
|
|
Object Detection (HP)
|
98% |
1597
127.1 IPS |
|
|
Object Detection (Q)
|
83% |
3692
298.3 IPS |
|
|
Face Detection (SP)
|
100% |
4084
48.5 IPS |
|
|
Face Detection (HP)
|
100% |
4124
49.0 IPS |
|
|
Face Detection (Q)
|
95% |
8763
104.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
4447
34.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
4435
34.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
7532
69.0 IPS |
|
|
Style Transfer (SP)
|
89% |
11080
14.4 IPS |
|
|
Style Transfer (HP)
|
89% |
11129
14.4 IPS |
|
|
Style Transfer (Q)
|
98% |
23393
30.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1934
71.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1964
72.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4830
179.0 IPS |
|
|
Text Classification (SP)
|
100% |
791
1.06 KIPS |
|
|
Text Classification (HP)
|
99% |
785
1.05 KIPS |
|
|
Text Classification (Q)
|
88% |
791
1.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
1242
21.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1275
22.0 IPS |
|
|
Machine Translation (Q)
|
50% |
463
16.4 IPS |
