Xiaomi 23124RA7EO
Geekbench ML Score
277
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | July 27 2024 12:36 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Xiaomi 23124RA7EO |
| Model ID | Xiaomi 23124RA7EO |
| Motherboard | bengal |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3337 revision 0 |
| Base Frequency | 1.90 GHz |
| Cluster 1 | 4 Cores @ 1.90 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Memory Information | |
|---|---|
| Size | 7.42 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
150
28.1 IPS |
|
|
Image Classification (F16)
|
100% |
148
27.7 IPS |
|
|
Image Classification (I8)
|
97% |
232
43.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
203
3.39 IPS |
|
|
Image Segmentation (F16)
|
100% |
208
3.47 IPS |
|
|
Image Segmentation (I8)
|
98% |
246
4.11 IPS |
|
|
Pose Estimation (F32)
|
100% |
277
0.34 IPS |
|
|
Pose Estimation (F16)
|
100% |
283
0.34 IPS |
|
|
Pose Estimation (I8)
|
100% |
798
0.97 IPS |
|
|
Object Detection (F32)
|
100% |
156
11.7 IPS |
|
|
Object Detection (F16)
|
100% |
160
11.9 IPS |
|
|
Object Detection (I8)
|
61% |
272
20.3 IPS |
|
|
Face Detection (F32)
|
100% |
312
3.71 IPS |
|
|
Face Detection (F16)
|
100% |
317
3.77 IPS |
|
|
Face Detection (I8)
|
86% |
562
6.68 IPS |
|
|
Depth Estimation (F32)
|
100% |
293
2.27 IPS |
|
|
Depth Estimation (F16)
|
100% |
290
2.25 IPS |
|
|
Depth Estimation (I8)
|
95% |
565
4.38 IPS |
|
|
Style Transfer (F32)
|
100% |
444
0.58 IPS |
|
|
Style Transfer (F16)
|
100% |
450
0.59 IPS |
|
|
Style Transfer (I8)
|
98% |
1107
1.46 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
175
6.25 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
181
6.48 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
390
13.9 IPS |
|
|
Text Classification (F32)
|
100% |
188
269.5 IPS |
|
|
Text Classification (F16)
|
100% |
188
270.8 IPS |
|
|
Text Classification (I8)
|
92% |
145
208.9 IPS |
|
|
Machine Translation (F32)
|
100% |
351
6.45 IPS |
|
|
Machine Translation (F16)
|
100% |
351
6.46 IPS |
|
|
Machine Translation (I8)
|
64% |
194
3.57 IPS |
