Xiaomi 24030PN60G
Geekbench AI Score
255
Single Precision Score
260
Half Precision Score
566
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 19 2024 02:10 AM |
| Views | 2 |
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% |
154
28.7 IPS |
|
|
Image Classification (HP)
|
100% |
154
28.7 IPS |
|
|
Image Classification (Q)
|
99% |
385
71.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
205
3.32 IPS |
|
|
Image Segmentation (HP)
|
100% |
205
3.33 IPS |
|
|
Image Segmentation (Q)
|
98% |
408
6.63 IPS |
|
|
Pose Estimation (SP)
|
100% |
258
0.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
251
0.29 IPS |
|
|
Pose Estimation (Q)
|
98% |
959
1.12 IPS |
|
|
Object Detection (SP)
|
100% |
144
11.4 IPS |
|
|
Object Detection (HP)
|
100% |
144
11.4 IPS |
|
|
Object Detection (Q)
|
87% |
397
31.8 IPS |
|
|
Face Detection (SP)
|
100% |
427
5.07 IPS |
|
|
Face Detection (HP)
|
100% |
428
5.09 IPS |
|
|
Face Detection (Q)
|
97% |
822
9.80 IPS |
|
|
Depth Estimation (SP)
|
100% |
341
2.63 IPS |
|
|
Depth Estimation (HP)
|
99% |
341
2.62 IPS |
|
|
Depth Estimation (Q)
|
64% |
776
7.04 IPS |
|
|
Style Transfer (SP)
|
100% |
613
0.79 IPS |
|
|
Style Transfer (HP)
|
100% |
735
0.94 IPS |
|
|
Style Transfer (Q)
|
98% |
1699
2.19 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
163
6.01 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
164
6.05 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
555
20.6 IPS |
|
|
Text Classification (SP)
|
100% |
199
265.9 IPS |
|
|
Text Classification (HP)
|
100% |
200
267.4 IPS |
|
|
Text Classification (Q)
|
91% |
325
436.6 IPS |
|
|
Machine Translation (SP)
|
100% |
356
6.13 IPS |
|
|
Machine Translation (HP)
|
100% |
356
6.13 IPS |
|
|
Machine Translation (Q)
|
57% |
293
7.17 IPS |
