Xiaomi 24030PN60G
Geekbench AI Score
2407
Single Precision Score
2406
Half Precision Score
3554
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | May 10 2025 02:58 AM |
| 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% |
1744
324.3 IPS |
|
|
Image Classification (HP)
|
100% |
1881
349.8 IPS |
|
|
Image Classification (Q)
|
100% |
2796
519.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2115
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2108
34.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
3060
49.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3874
4.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
3871
4.52 IPS |
|
|
Pose Estimation (Q)
|
84% |
8801
10.4 IPS |
|
|
Object Detection (SP)
|
98% |
1974
157.1 IPS |
|
|
Object Detection (HP)
|
98% |
1978
157.4 IPS |
|
|
Object Detection (Q)
|
83% |
2705
218.5 IPS |
|
|
Face Detection (SP)
|
100% |
3852
45.8 IPS |
|
|
Face Detection (HP)
|
100% |
3865
45.9 IPS |
|
|
Face Detection (Q)
|
95% |
5985
71.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
3537
27.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3779
29.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
6072
55.6 IPS |
|
|
Style Transfer (SP)
|
89% |
9240
12.0 IPS |
|
|
Style Transfer (HP)
|
89% |
9215
12.0 IPS |
|
|
Style Transfer (Q)
|
98% |
17981
23.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1936
71.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1800
66.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4020
149.0 IPS |
|
|
Text Classification (SP)
|
100% |
760
1.01 KIPS |
|
|
Text Classification (HP)
|
99% |
730
974.8 IPS |
|
|
Text Classification (Q)
|
88% |
1130
1.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
1250
21.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1215
20.9 IPS |
|
|
Machine Translation (Q)
|
50% |
532
18.9 IPS |
