Xiaomi 24030PN60G
Geekbench AI Score
2373
Single Precision Score
2325
Half Precision Score
3635
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | skikitt |
| Upload Date | April 21 2025 08:55 AM |
| Views | 11 |
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% |
1729
321.5 IPS |
|
|
Image Classification (HP)
|
100% |
1729
321.5 IPS |
|
|
Image Classification (Q)
|
100% |
2937
546.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2316
37.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1954
31.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3469
56.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4143
4.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
4006
4.67 IPS |
|
|
Pose Estimation (Q)
|
84% |
8735
10.4 IPS |
|
|
Object Detection (SP)
|
98% |
1743
138.7 IPS |
|
|
Object Detection (HP)
|
98% |
1758
139.9 IPS |
|
|
Object Detection (Q)
|
83% |
2506
202.5 IPS |
|
|
Face Detection (SP)
|
100% |
3627
43.1 IPS |
|
|
Face Detection (HP)
|
100% |
3711
44.1 IPS |
|
|
Face Detection (Q)
|
95% |
5997
71.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
3806
29.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3726
28.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
6066
55.6 IPS |
|
|
Style Transfer (SP)
|
89% |
9166
11.9 IPS |
|
|
Style Transfer (HP)
|
89% |
9129
11.9 IPS |
|
|
Style Transfer (Q)
|
98% |
18032
23.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1885
69.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1878
69.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4410
163.4 IPS |
|
|
Text Classification (SP)
|
100% |
774
1.03 KIPS |
|
|
Text Classification (HP)
|
99% |
763
1.02 KIPS |
|
|
Text Classification (Q)
|
88% |
1129
1.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
1064
18.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1074
18.5 IPS |
|
|
Machine Translation (Q)
|
50% |
553
19.6 IPS |
