Xiaomi 23116PN5BC
Geekbench ML Score
1106
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | January 16 2024 12:33 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
561
105.1 IPS |
|
|
Image Classification (F16)
|
100% |
563
105.4 IPS |
|
|
Image Classification (I8)
|
97% |
906
169.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
742
12.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
722
12.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
723
12.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
1428
1.73 IPS |
|
|
Pose Estimation (F16)
|
100% |
1428
1.73 IPS |
|
|
Pose Estimation (I8)
|
100% |
5389
6.53 IPS |
|
|
Object Detection (F32)
|
100% |
564
42.1 IPS |
|
|
Object Detection (F16)
|
100% |
568
42.4 IPS |
|
|
Object Detection (I8)
|
61% |
1094
81.7 IPS |
|
|
Face Detection (F32)
|
100% |
1306
15.5 IPS |
|
|
Face Detection (F16)
|
100% |
1316
15.6 IPS |
|
|
Face Detection (I8)
|
86% |
1994
23.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
1310
10.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
1318
10.2 IPS |
|
|
Depth Estimation (I8)
|
95% |
2118
16.4 IPS |
|
|
Style Transfer (F32)
|
100% |
2481
3.26 IPS |
|
|
Style Transfer (F16)
|
100% |
2495
3.28 IPS |
|
|
Style Transfer (I8)
|
98% |
5147
6.77 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
841
30.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
870
31.1 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
2032
72.6 IPS |
|
|
Text Classification (F32)
|
100% |
571
820.7 IPS |
|
|
Text Classification (F16)
|
100% |
504
723.9 IPS |
|
|
Text Classification (I8)
|
92% |
427
614.3 IPS |
|
|
Machine Translation (F32)
|
100% |
1330
24.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1341
24.7 IPS |
|
|
Machine Translation (I8)
|
64% |
380
6.98 IPS |
