Xiaomi 24030PN60G
Geekbench AI Score
318
Single Precision Score
320
Half Precision Score
672
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 19 2024 01:32 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
268
49.8 IPS |
|
|
Image Classification (HP)
|
100% |
272
50.5 IPS |
|
|
Image Classification (Q)
|
99% |
691
128.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
345
5.59 IPS |
|
|
Image Segmentation (HP)
|
100% |
350
5.67 IPS |
|
|
Image Segmentation (Q)
|
98% |
689
11.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
480
0.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
481
0.56 IPS |
|
|
Pose Estimation (Q)
|
98% |
1061
1.24 IPS |
|
|
Object Detection (SP)
|
100% |
159
12.7 IPS |
|
|
Object Detection (HP)
|
100% |
160
12.7 IPS |
|
|
Object Detection (Q)
|
87% |
435
34.9 IPS |
|
|
Face Detection (SP)
|
100% |
471
5.59 IPS |
|
|
Face Detection (HP)
|
100% |
472
5.61 IPS |
|
|
Face Detection (Q)
|
97% |
908
10.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
375
2.89 IPS |
|
|
Depth Estimation (HP)
|
99% |
376
2.90 IPS |
|
|
Depth Estimation (Q)
|
64% |
859
7.80 IPS |
|
|
Style Transfer (SP)
|
100% |
642
0.82 IPS |
|
|
Style Transfer (HP)
|
100% |
644
0.83 IPS |
|
|
Style Transfer (Q)
|
98% |
1783
2.30 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
172
6.36 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
172
6.35 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
585
21.7 IPS |
|
|
Text Classification (SP)
|
100% |
211
282.0 IPS |
|
|
Text Classification (HP)
|
100% |
212
282.5 IPS |
|
|
Text Classification (Q)
|
91% |
346
465.0 IPS |
|
|
Machine Translation (SP)
|
100% |
371
6.40 IPS |
|
|
Machine Translation (HP)
|
100% |
373
6.43 IPS |
|
|
Machine Translation (Q)
|
57% |
308
7.52 IPS |
