Xiaomi 24030PN60G
Geekbench AI Score
1961
Single Precision Score
1980
Half Precision Score
2995
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 27 2025 10:48 PM |
| Views | 5 |
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% |
1422
264.4 IPS |
|
|
Image Classification (HP)
|
100% |
1657
308.1 IPS |
|
|
Image Classification (Q)
|
100% |
2325
432.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1835
29.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1895
30.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2723
44.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3417
3.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
3323
3.88 IPS |
|
|
Pose Estimation (Q)
|
84% |
7401
8.78 IPS |
|
|
Object Detection (SP)
|
98% |
1438
114.4 IPS |
|
|
Object Detection (HP)
|
98% |
1403
111.7 IPS |
|
|
Object Detection (Q)
|
83% |
2075
167.6 IPS |
|
|
Face Detection (SP)
|
100% |
3054
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
3090
36.7 IPS |
|
|
Face Detection (Q)
|
95% |
4921
58.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
3022
23.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3047
23.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
5094
46.7 IPS |
|
|
Style Transfer (SP)
|
89% |
7816
10.1 IPS |
|
|
Style Transfer (HP)
|
89% |
7864
10.2 IPS |
|
|
Style Transfer (Q)
|
98% |
15201
19.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1525
56.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1557
57.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3745
138.8 IPS |
|
|
Text Classification (SP)
|
100% |
679
906.1 IPS |
|
|
Text Classification (HP)
|
99% |
645
860.3 IPS |
|
|
Text Classification (Q)
|
88% |
974
1.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
879
15.1 IPS |
|
|
Machine Translation (HP)
|
100% |
853
14.7 IPS |
|
|
Machine Translation (Q)
|
50% |
430
15.3 IPS |
