Xiaomi 23116PN5BC
Geekbench ML Score
341
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | January 16 2024 12:30 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Xiaomi 23116PN5BC |
| Model ID | Xiaomi 23116PN5BC |
| Motherboard | shennong |
| 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 | 14.85 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
160
29.9 IPS |
|
|
Image Classification (F16)
|
100% |
160
29.9 IPS |
|
|
Image Classification (I8)
|
97% |
404
75.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
208
3.48 IPS |
|
|
Image Segmentation (F16)
|
100% |
209
3.48 IPS |
|
|
Image Segmentation (I8)
|
98% |
395
6.60 IPS |
|
|
Pose Estimation (F32)
|
100% |
272
0.33 IPS |
|
|
Pose Estimation (F16)
|
100% |
256
0.31 IPS |
|
|
Pose Estimation (I8)
|
100% |
925
1.12 IPS |
|
|
Object Detection (F32)
|
100% |
151
11.3 IPS |
|
|
Object Detection (F16)
|
100% |
151
11.3 IPS |
|
|
Object Detection (I8)
|
61% |
412
30.8 IPS |
|
|
Face Detection (F32)
|
100% |
429
5.11 IPS |
|
|
Face Detection (F16)
|
100% |
429
5.10 IPS |
|
|
Face Detection (I8)
|
86% |
826
9.83 IPS |
|
|
Depth Estimation (F32)
|
100% |
338
2.62 IPS |
|
|
Depth Estimation (F16)
|
100% |
339
2.63 IPS |
|
|
Depth Estimation (I8)
|
95% |
913
7.08 IPS |
|
|
Style Transfer (F32)
|
100% |
598
0.79 IPS |
|
|
Style Transfer (F16)
|
100% |
602
0.79 IPS |
|
|
Style Transfer (I8)
|
98% |
1678
2.21 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
170
6.08 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
171
6.09 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
580
20.7 IPS |
|
|
Text Classification (F32)
|
100% |
186
267.6 IPS |
|
|
Text Classification (F16)
|
100% |
186
268.0 IPS |
|
|
Text Classification (I8)
|
92% |
306
439.4 IPS |
|
|
Machine Translation (F32)
|
100% |
360
6.62 IPS |
|
|
Machine Translation (F16)
|
100% |
358
6.60 IPS |
|
|
Machine Translation (I8)
|
64% |
407
7.49 IPS |
