Xiaomi 24030PN60G
Geekbench AI Score
2590
Single Precision Score
2638
Half Precision Score
4166
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | HAMMIM01 |
| Upload Date | April 18 2025 07:04 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Xiaomi 24030PN60G |
| Model ID | Xiaomi 24030PN60G |
| Motherboard | aurora |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.26 GHz |
| Cluster 1 | 2 Cores @ 2.27 GHz |
| Cluster 2 | 2 Cores @ 2.96 GHz |
| Cluster 3 | 3 Cores @ 3.15 GHz |
| Cluster 4 | 1 Core @ 3.30 GHz |
| Memory Information | |
|---|---|
| Size | 14.81 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1876
348.8 IPS |
|
|
Image Classification (HP)
|
100% |
1918
356.8 IPS |
|
|
Image Classification (Q)
|
100% |
3472
645.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2467
40.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2500
40.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
3792
61.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4340
5.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
4045
4.72 IPS |
|
|
Pose Estimation (Q)
|
84% |
9310
11.0 IPS |
|
|
Object Detection (SP)
|
98% |
1945
154.8 IPS |
|
|
Object Detection (HP)
|
98% |
1934
153.9 IPS |
|
|
Object Detection (Q)
|
83% |
2933
236.9 IPS |
|
|
Face Detection (SP)
|
100% |
3928
46.7 IPS |
|
|
Face Detection (HP)
|
100% |
3900
46.3 IPS |
|
|
Face Detection (Q)
|
95% |
6967
83.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
4095
31.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
4060
31.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
7248
66.4 IPS |
|
|
Style Transfer (SP)
|
89% |
10174
13.2 IPS |
|
|
Style Transfer (HP)
|
89% |
9979
13.0 IPS |
|
|
Style Transfer (Q)
|
98% |
19876
25.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1976
73.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2047
75.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5211
193.1 IPS |
|
|
Text Classification (SP)
|
100% |
922
1.23 KIPS |
|
|
Text Classification (HP)
|
99% |
923
1.23 KIPS |
|
|
Text Classification (Q)
|
88% |
1351
1.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
1170
20.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1458
25.1 IPS |
|
|
Machine Translation (Q)
|
50% |
620
22.0 IPS |
