MEDION E15443
Geekbench ML Score
3215
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | March 28 2024 04:24 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | MEDION E15443 |
| Motherboard | MEDION NP1xMTL |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 5 125H |
| Topology | 1 Processor, 14 Cores, 18 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 10 Cores |
| L1 Instruction Cache | 64.0 KB x 9 |
| L1 Data Cache | 48.0 KB x 9 |
| L2 Cache | 2.00 MB x 2 |
| L3 Cache | 18.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1842
344.7 IPS |
|
|
Image Classification (F16)
|
100% |
1880
351.9 IPS |
|
|
Image Classification (I8)
|
100% |
1558
291.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
2156
36.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
2178
36.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
1759
29.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
12389
15.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
12166
14.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
9436
11.4 IPS |
|
|
Object Detection (F32)
|
100% |
1706
127.4 IPS |
|
|
Object Detection (F16)
|
100% |
1814
135.5 IPS |
|
|
Object Detection (I8)
|
54% |
1495
111.6 IPS |
|
|
Face Detection (F32)
|
100% |
2961
35.2 IPS |
|
|
Face Detection (F16)
|
100% |
2917
34.7 IPS |
|
|
Face Detection (I8)
|
89% |
2062
24.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
7482
58.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
7603
59.0 IPS |
|
|
Depth Estimation (I8)
|
95% |
5594
43.4 IPS |
|
|
Style Transfer (F32)
|
100% |
33746
44.4 IPS |
|
|
Style Transfer (F16)
|
100% |
33720
44.4 IPS |
|
|
Style Transfer (I8)
|
98% |
23822
31.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5126
183.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5621
200.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3424
122.3 IPS |
|
|
Text Classification (F32)
|
90% |
667
958.3 IPS |
|
|
Text Classification (F16)
|
90% |
733
1.05 KIPS |
|
|
Text Classification (I8)
|
90% |
536
769.9 IPS |
|
|
Machine Translation (F32)
|
100% |
1343
24.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1342
24.7 IPS |
|
|
Machine Translation (I8)
|
70% |
788
14.5 IPS |
