Xiaomi 24030PN60G
Geekbench AI Score
2374
Single Precision Score
2295
Half Precision Score
3482
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | HAMMIM01 |
| Upload Date | May 28 2025 07:34 PM |
| Views | 9 |
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% |
2071
385.1 IPS |
|
|
Image Classification (HP)
|
100% |
1767
328.6 IPS |
|
|
Image Classification (Q)
|
100% |
2925
544.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2261
36.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2236
36.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
3418
55.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3824
4.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
3821
4.46 IPS |
|
|
Pose Estimation (Q)
|
84% |
8749
10.4 IPS |
|
|
Object Detection (SP)
|
98% |
1733
137.9 IPS |
|
|
Object Detection (HP)
|
98% |
1756
139.7 IPS |
|
|
Object Detection (Q)
|
83% |
2487
200.9 IPS |
|
|
Face Detection (SP)
|
100% |
3579
42.5 IPS |
|
|
Face Detection (HP)
|
100% |
3670
43.6 IPS |
|
|
Face Detection (Q)
|
95% |
5845
69.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
3731
28.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3752
29.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
6115
56.0 IPS |
|
|
Style Transfer (SP)
|
89% |
9236
12.0 IPS |
|
|
Style Transfer (HP)
|
89% |
9167
11.9 IPS |
|
|
Style Transfer (Q)
|
98% |
16710
21.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1893
69.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1856
68.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3922
145.3 IPS |
|
|
Text Classification (SP)
|
100% |
728
971.7 IPS |
|
|
Text Classification (HP)
|
99% |
727
970.5 IPS |
|
|
Text Classification (Q)
|
88% |
1150
1.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
1079
18.6 IPS |
|
|
Machine Translation (HP)
|
100% |
899
15.5 IPS |
|
|
Machine Translation (Q)
|
50% |
448
15.9 IPS |
