Xiaomi 24030PN60G
Geekbench AI Score
272
Single Precision Score
274
Half Precision Score
617
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 15 2025 10:22 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
162
30.2 IPS |
|
|
Image Classification (HP)
|
100% |
163
30.3 IPS |
|
|
Image Classification (Q)
|
99% |
405
75.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
216
3.51 IPS |
|
|
Image Segmentation (HP)
|
100% |
217
3.52 IPS |
|
|
Image Segmentation (Q)
|
98% |
434
7.05 IPS |
|
|
Pose Estimation (SP)
|
100% |
282
0.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
282
0.33 IPS |
|
|
Pose Estimation (Q)
|
98% |
1069
1.25 IPS |
|
|
Object Detection (SP)
|
100% |
161
12.7 IPS |
|
|
Object Detection (HP)
|
100% |
161
12.8 IPS |
|
|
Object Detection (Q)
|
87% |
418
33.5 IPS |
|
|
Face Detection (SP)
|
100% |
454
5.40 IPS |
|
|
Face Detection (HP)
|
100% |
456
5.42 IPS |
|
|
Face Detection (Q)
|
97% |
878
10.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
361
2.78 IPS |
|
|
Depth Estimation (HP)
|
99% |
361
2.78 IPS |
|
|
Depth Estimation (Q)
|
64% |
828
7.52 IPS |
|
|
Style Transfer (SP)
|
100% |
645
0.83 IPS |
|
|
Style Transfer (HP)
|
100% |
682
0.88 IPS |
|
|
Style Transfer (Q)
|
98% |
1806
2.33 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
173
6.39 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
173
6.38 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
586
21.7 IPS |
|
|
Text Classification (SP)
|
100% |
211
281.6 IPS |
|
|
Text Classification (HP)
|
100% |
211
282.0 IPS |
|
|
Text Classification (Q)
|
91% |
345
464.1 IPS |
|
|
Machine Translation (SP)
|
100% |
374
6.44 IPS |
|
|
Machine Translation (HP)
|
100% |
374
6.45 IPS |
|
|
Machine Translation (Q)
|
57% |
389
9.51 IPS |
