Xiaomi 24030PN60G
Geekbench AI Score
2527
Single Precision Score
2517
Half Precision Score
3880
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 23 2024 11:52 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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 | 14.86 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1840
342.2 IPS |
|
|
Image Classification (HP)
|
100% |
1813
337.2 IPS |
|
|
Image Classification (Q)
|
100% |
3225
599.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2347
38.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2339
37.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
3664
59.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4268
4.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
4062
4.74 IPS |
|
|
Pose Estimation (Q)
|
84% |
8803
10.4 IPS |
|
|
Object Detection (SP)
|
98% |
1783
141.9 IPS |
|
|
Object Detection (HP)
|
98% |
1784
142.0 IPS |
|
|
Object Detection (Q)
|
83% |
2531
204.4 IPS |
|
|
Face Detection (SP)
|
100% |
3822
45.4 IPS |
|
|
Face Detection (HP)
|
100% |
3771
44.8 IPS |
|
|
Face Detection (Q)
|
95% |
5903
70.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
3780
29.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3823
29.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
6235
57.1 IPS |
|
|
Style Transfer (SP)
|
89% |
9229
12.0 IPS |
|
|
Style Transfer (HP)
|
89% |
9272
12.0 IPS |
|
|
Style Transfer (Q)
|
98% |
17813
23.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1915
70.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1986
73.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4426
164.0 IPS |
|
|
Text Classification (SP)
|
100% |
825
1.10 KIPS |
|
|
Text Classification (HP)
|
99% |
825
1.10 KIPS |
|
|
Text Classification (Q)
|
88% |
1260
1.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
1535
26.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1517
26.1 IPS |
|
|
Machine Translation (Q)
|
50% |
805
28.6 IPS |
