Micro-Star International Co., Ltd. MS-7C37
Geekbench ML Score
3168
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 16 2024 11:47 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C37 |
| Motherboard | Micro-Star International Co., Ltd. X570-A PRO (MS-7C37) |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 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 | 96.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1836
343.6 IPS |
|
|
Image Classification (F16)
|
100% |
1632
305.3 IPS |
|
|
Image Classification (I8)
|
97% |
3434
642.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1651
27.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1659
27.7 IPS |
|
|
Image Segmentation (I8)
|
97% |
1814
30.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
4761
5.77 IPS |
|
|
Pose Estimation (F16)
|
100% |
4521
5.48 IPS |
|
|
Pose Estimation (I8)
|
100% |
10822
13.1 IPS |
|
|
Object Detection (F32)
|
100% |
1665
124.3 IPS |
|
|
Object Detection (F16)
|
100% |
1690
126.2 IPS |
|
|
Object Detection (I8)
|
60% |
1788
133.5 IPS |
|
|
Face Detection (F32)
|
100% |
4500
53.5 IPS |
|
|
Face Detection (F16)
|
100% |
4209
50.0 IPS |
|
|
Face Detection (I8)
|
87% |
4514
53.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
6241
48.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
5393
41.8 IPS |
|
|
Depth Estimation (I8)
|
74% |
10463
81.1 IPS |
|
|
Style Transfer (F32)
|
100% |
12043
15.8 IPS |
|
|
Style Transfer (F16)
|
100% |
13650
18.0 IPS |
|
|
Style Transfer (I8)
|
85% |
13978
18.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2690
96.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2644
94.4 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
3628
129.6 IPS |
|
|
Text Classification (F32)
|
100% |
1413
2.03 KIPS |
|
|
Text Classification (F16)
|
100% |
1910
2.75 KIPS |
|
|
Text Classification (I8)
|
94% |
315
452.1 IPS |
|
|
Machine Translation (F32)
|
100% |
2223
40.9 IPS |
|
|
Machine Translation (F16)
|
100% |
2201
40.5 IPS |
|
|
Machine Translation (I8)
|
67% |
2388
43.9 IPS |
