Xiaomi 23116PN5BC
Geekbench ML Score
1018
TensorFlow Lite GPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | May 08 2024 03:22 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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
726
135.9 IPS |
|
|
Image Classification (F16)
|
100% |
752
140.7 IPS |
|
|
Image Classification (I8)
|
99% |
554
103.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
801
13.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1037
17.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
1198
20.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
982
1.19 IPS |
|
|
Pose Estimation (F16)
|
100% |
2060
2.49 IPS |
|
|
Pose Estimation (I8)
|
100% |
2101
2.54 IPS |
|
|
Object Detection (F32)
|
100% |
334
24.9 IPS |
|
|
Object Detection (F16)
|
100% |
441
32.9 IPS |
|
|
Object Detection (I8)
|
62% |
282
21.1 IPS |
|
|
Face Detection (F32)
|
100% |
2299
27.3 IPS |
|
|
Face Detection (F16)
|
97% |
3070
36.5 IPS |
|
|
Face Detection (I8)
|
86% |
2287
27.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
1655
12.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
3219
25.0 IPS |
|
|
Depth Estimation (I8)
|
95% |
3173
24.6 IPS |
|
|
Style Transfer (F32)
|
100% |
4664
6.13 IPS |
|
|
Style Transfer (F16)
|
100% |
9056
11.9 IPS |
|
|
Style Transfer (I8)
|
98% |
8985
11.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
448
16.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
994
35.5 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1316
47.0 IPS |
|
|
Text Classification (F32)
|
100% |
187
268.1 IPS |
|
|
Text Classification (F16)
|
100% |
186
267.5 IPS |
|
|
Text Classification (I8)
|
92% |
305
438.0 IPS |
|
|
Machine Translation (F32)
|
100% |
356
6.55 IPS |
|
|
Machine Translation (F16)
|
100% |
356
6.55 IPS |
|
|
Machine Translation (I8)
|
64% |
398
7.32 IPS |
