Xiaomi 24030PN60G
Geekbench AI Score
2568
Single Precision Score
2553
Half Precision Score
4039
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | HAMMIM01 |
| Upload Date | September 30 2025 05:10 PM |
| Views | 3 |
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% |
1862
346.3 IPS |
|
|
Image Classification (HP)
|
100% |
1905
354.2 IPS |
|
|
Image Classification (Q)
|
100% |
3260
606.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2460
39.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2406
39.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
3768
61.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4313
5.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
3955
4.61 IPS |
|
|
Pose Estimation (Q)
|
84% |
9133
10.8 IPS |
|
|
Object Detection (SP)
|
98% |
1953
155.4 IPS |
|
|
Object Detection (HP)
|
98% |
2142
170.4 IPS |
|
|
Object Detection (Q)
|
83% |
2860
231.0 IPS |
|
|
Face Detection (SP)
|
100% |
3820
45.4 IPS |
|
|
Face Detection (HP)
|
100% |
3879
46.1 IPS |
|
|
Face Detection (Q)
|
95% |
6926
82.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
4136
32.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
4144
32.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
6986
64.0 IPS |
|
|
Style Transfer (SP)
|
89% |
9949
12.9 IPS |
|
|
Style Transfer (HP)
|
89% |
9788
12.7 IPS |
|
|
Style Transfer (Q)
|
98% |
19765
25.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1994
73.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1949
72.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5012
185.7 IPS |
|
|
Text Classification (SP)
|
100% |
892
1.19 KIPS |
|
|
Text Classification (HP)
|
99% |
884
1.18 KIPS |
|
|
Text Classification (Q)
|
88% |
1306
1.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
1157
19.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1120
19.3 IPS |
|
|
Machine Translation (Q)
|
50% |
576
20.5 IPS |
