Micro-Star International Co., Ltd. MS-7C84
Geekbench ML Score
2086
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | May 22 2024 03:59 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C84 |
| Motherboard | Micro-Star International Co., Ltd. MAG X570 TOMAHAWK WIFI (MS-7C84) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.80 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 | 32.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1210
226.5 IPS |
|
|
Image Classification (F16)
|
100% |
1137
212.7 IPS |
|
|
Image Classification (I8)
|
97% |
2127
398.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
974
16.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
978
16.3 IPS |
|
|
Image Segmentation (I8)
|
97% |
1135
19.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
3205
3.88 IPS |
|
|
Pose Estimation (F16)
|
100% |
4082
4.94 IPS |
|
|
Pose Estimation (I8)
|
100% |
7272
8.81 IPS |
|
|
Object Detection (F32)
|
100% |
1133
84.6 IPS |
|
|
Object Detection (F16)
|
100% |
1483
110.7 IPS |
|
|
Object Detection (I8)
|
60% |
714
53.3 IPS |
|
|
Face Detection (F32)
|
100% |
2387
28.4 IPS |
|
|
Face Detection (F16)
|
100% |
2424
28.8 IPS |
|
|
Face Detection (I8)
|
87% |
2325
27.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
5239
40.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
4036
31.3 IPS |
|
|
Depth Estimation (I8)
|
74% |
6056
47.0 IPS |
|
|
Style Transfer (F32)
|
100% |
12426
16.3 IPS |
|
|
Style Transfer (F16)
|
100% |
8342
11.0 IPS |
|
|
Style Transfer (I8)
|
85% |
10303
13.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2110
75.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1606
57.3 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
2175
77.7 IPS |
|
|
Text Classification (F32)
|
100% |
810
1.16 KIPS |
|
|
Text Classification (F16)
|
100% |
1064
1.53 KIPS |
|
|
Text Classification (I8)
|
94% |
354
508.6 IPS |
|
|
Machine Translation (F32)
|
100% |
1363
25.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1500
27.6 IPS |
|
|
Machine Translation (I8)
|
67% |
1260
23.2 IPS |
