Wincomm WLPM-H22
Geekbench ML Score
3134
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 07 2025 03:49 AM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 IoT Enterprise LTSC (64-bit) |
| Model | Wincomm WLPM-H22 |
| Motherboard | Wincomm WLPM-H22 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-14400 |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 191 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| L1 Instruction Cache | 64.0 KB x 8 |
| L1 Data Cache | 32.0 KB x 8 |
| L2 Cache | 2.00 MB x 2 |
| L3 Cache | 20.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1757
328.8 IPS |
|
|
Image Classification (F16)
|
100% |
1776
332.3 IPS |
|
|
Image Classification (I8)
|
99% |
3309
619.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1486
24.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1506
25.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
2285
38.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
5633
6.82 IPS |
|
|
Pose Estimation (F16)
|
100% |
5658
6.85 IPS |
|
|
Pose Estimation (I8)
|
100% |
18709
22.7 IPS |
|
|
Object Detection (F32)
|
100% |
1670
124.7 IPS |
|
|
Object Detection (F16)
|
100% |
1668
124.5 IPS |
|
|
Object Detection (I8)
|
62% |
1738
129.7 IPS |
|
|
Face Detection (F32)
|
100% |
2228
26.5 IPS |
|
|
Face Detection (F16)
|
100% |
2236
26.6 IPS |
|
|
Face Detection (I8)
|
89% |
3185
37.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
6243
48.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
6257
48.5 IPS |
|
|
Depth Estimation (I8)
|
96% |
12054
93.5 IPS |
|
|
Style Transfer (F32)
|
100% |
12848
16.9 IPS |
|
|
Style Transfer (F16)
|
100% |
12867
16.9 IPS |
|
|
Style Transfer (I8)
|
98% |
13732
18.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2866
102.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2843
101.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4418
157.8 IPS |
|
|
Text Classification (F32)
|
100% |
1475
2.12 KIPS |
|
|
Text Classification (F16)
|
100% |
1472
2.12 KIPS |
|
|
Text Classification (I8)
|
98% |
488
702.0 IPS |
|
|
Machine Translation (F32)
|
100% |
1789
32.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1764
32.5 IPS |
|
|
Machine Translation (I8)
|
67% |
2464
45.3 IPS |
