SchenkerTechnologiesGmbH XMG APEX (Mid 2021)
Geekbench ML Score
2935
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | chaton22 |
| Upload Date | August 16 2024 09:11 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (64-bit) |
| Model | SchenkerTechnologiesGmbH XMG APEX (Mid 2021) |
| Motherboard | NB01 NHx0ERQ_EPS |
| Power Plan | Utilisation normale |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900HX |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 32.0 KB x 8 |
| L2 Cache | 512 KB x 8 |
| L3 Cache | 16.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1585
296.6 IPS |
|
|
Image Classification (F16)
|
100% |
1514
283.3 IPS |
|
|
Image Classification (I8)
|
97% |
3266
611.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1384
23.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1425
23.8 IPS |
|
|
Image Segmentation (I8)
|
97% |
2489
41.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
5013
6.07 IPS |
|
|
Pose Estimation (F16)
|
100% |
5098
6.17 IPS |
|
|
Pose Estimation (I8)
|
100% |
11581
14.0 IPS |
|
|
Object Detection (F32)
|
100% |
1444
107.8 IPS |
|
|
Object Detection (F16)
|
100% |
1491
111.3 IPS |
|
|
Object Detection (I8)
|
60% |
1626
121.4 IPS |
|
|
Face Detection (F32)
|
100% |
1919
22.8 IPS |
|
|
Face Detection (F16)
|
100% |
1925
22.9 IPS |
|
|
Face Detection (I8)
|
87% |
3479
41.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
5942
46.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
6092
47.2 IPS |
|
|
Depth Estimation (I8)
|
74% |
9401
72.9 IPS |
|
|
Style Transfer (F32)
|
100% |
11909
15.7 IPS |
|
|
Style Transfer (F16)
|
100% |
11468
15.1 IPS |
|
|
Style Transfer (I8)
|
85% |
13593
17.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2374
84.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2285
81.6 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
2774
99.1 IPS |
|
|
Text Classification (F32)
|
100% |
1514
2.18 KIPS |
|
|
Text Classification (F16)
|
100% |
1607
2.31 KIPS |
|
|
Text Classification (I8)
|
94% |
1233
1.77 KIPS |
|
|
Machine Translation (F32)
|
100% |
1852
34.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1836
33.8 IPS |
|
|
Machine Translation (I8)
|
67% |
2158
39.7 IPS |
