Xiaomi 24030PN60G
Geekbench AI Score
2231
Single Precision Score
2223
Half Precision Score
3368
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | June 30 2025 10:34 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% |
1756
326.5 IPS |
|
|
Image Classification (HP)
|
100% |
1771
329.3 IPS |
|
|
Image Classification (Q)
|
100% |
2936
546.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2291
37.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2290
37.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3268
53.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3864
4.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
3841
4.48 IPS |
|
|
Pose Estimation (Q)
|
84% |
8740
10.4 IPS |
|
|
Object Detection (SP)
|
98% |
1766
140.6 IPS |
|
|
Object Detection (HP)
|
98% |
1743
138.7 IPS |
|
|
Object Detection (Q)
|
83% |
2477
200.1 IPS |
|
|
Face Detection (SP)
|
100% |
3706
44.0 IPS |
|
|
Face Detection (HP)
|
100% |
3700
44.0 IPS |
|
|
Face Detection (Q)
|
95% |
5839
69.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
3572
27.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3574
27.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
5369
49.2 IPS |
|
|
Style Transfer (SP)
|
89% |
8223
10.7 IPS |
|
|
Style Transfer (HP)
|
89% |
8123
10.5 IPS |
|
|
Style Transfer (Q)
|
98% |
15948
20.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1631
60.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1624
59.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3897
144.4 IPS |
|
|
Text Classification (SP)
|
100% |
696
929.2 IPS |
|
|
Text Classification (HP)
|
99% |
696
928.4 IPS |
|
|
Text Classification (Q)
|
88% |
1025
1.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
901
15.5 IPS |
|
|
Machine Translation (HP)
|
100% |
898
15.5 IPS |
|
|
Machine Translation (Q)
|
50% |
454
16.1 IPS |
