Xiaomi 24030PN60G
Geekbench AI Score
2367
Single Precision Score
2358
Half Precision Score
3611
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 15 2025 10:37 PM |
| Views | 1 |
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% |
1785
331.9 IPS |
|
|
Image Classification (HP)
|
100% |
1764
328.0 IPS |
|
|
Image Classification (Q)
|
100% |
2956
549.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2257
36.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2292
37.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
3457
56.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4096
4.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
3868
4.51 IPS |
|
|
Pose Estimation (Q)
|
84% |
8803
10.4 IPS |
|
|
Object Detection (SP)
|
98% |
1758
139.9 IPS |
|
|
Object Detection (HP)
|
98% |
1763
140.3 IPS |
|
|
Object Detection (Q)
|
83% |
2483
200.5 IPS |
|
|
Face Detection (SP)
|
100% |
3688
43.8 IPS |
|
|
Face Detection (HP)
|
100% |
3687
43.8 IPS |
|
|
Face Detection (Q)
|
95% |
5846
69.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
3541
27.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3596
27.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
6125
56.1 IPS |
|
|
Style Transfer (SP)
|
89% |
9209
12.0 IPS |
|
|
Style Transfer (HP)
|
89% |
9114
11.8 IPS |
|
|
Style Transfer (Q)
|
98% |
18001
23.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1856
68.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1898
70.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4401
163.1 IPS |
|
|
Text Classification (SP)
|
100% |
775
1.03 KIPS |
|
|
Text Classification (HP)
|
99% |
781
1.04 KIPS |
|
|
Text Classification (Q)
|
88% |
1142
1.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
1102
19.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1077
18.6 IPS |
|
|
Machine Translation (Q)
|
50% |
522
18.5 IPS |
