Xiaomi 24030PN60G
Geekbench AI Score
869
Single Precision Score
1397
Half Precision Score
1318
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | May 10 2025 03:26 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
690
128.3 IPS |
|
|
Image Classification (HP)
|
100% |
661
122.9 IPS |
|
|
Image Classification (Q)
|
96% |
539
100.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1128
18.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2006
32.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1276
20.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
967
1.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
2044
2.38 IPS |
|
|
Pose Estimation (Q)
|
96% |
2025
2.37 IPS |
|
|
Object Detection (SP)
|
100% |
547
43.4 IPS |
|
|
Object Detection (HP)
|
100% |
876
69.5 IPS |
|
|
Object Detection (Q)
|
87% |
900
72.2 IPS |
|
|
Face Detection (SP)
|
100% |
2114
25.1 IPS |
|
|
Face Detection (HP)
|
100% |
2623
31.2 IPS |
|
|
Face Detection (Q)
|
97% |
2778
33.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1535
11.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3004
23.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
2500
23.2 IPS |
|
|
Style Transfer (SP)
|
100% |
5383
6.92 IPS |
|
|
Style Transfer (HP)
|
100% |
8746
11.2 IPS |
|
|
Style Transfer (Q)
|
98% |
8600
11.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
421
15.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1283
47.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1237
45.8 IPS |
|
|
Text Classification (SP)
|
100% |
173
231.1 IPS |
|
|
Text Classification (HP)
|
100% |
283
377.3 IPS |
|
|
Text Classification (Q)
|
91% |
455
611.7 IPS |
|
|
Machine Translation (SP)
|
100% |
474
8.16 IPS |
|
|
Machine Translation (HP)
|
100% |
477
8.21 IPS |
|
|
Machine Translation (Q)
|
57% |
376
9.18 IPS |
