Micro-Star International Co., Ltd. B450 Gaming MAG META 5 (MS-B930)
Geekbench ML Score
2085
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | December 22 2023 12:35 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Enterprise LTSC (64-bit) |
| Model | Micro-Star International Co., Ltd. B450 Gaming MAG META 5 (MS-B930) |
| Motherboard | Micro-Star International Co., Ltd. B450M PRO-VDH MAX (MS-7A38) |
| Power Plan | WinterOS: Rev10 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 3700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.60 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 2 |
| Memory Information | |
|---|---|
| Size | 40.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1290
241.4 IPS |
|
|
Image Classification (F16)
|
100% |
1286
240.7 IPS |
|
|
Image Classification (I8)
|
97% |
2010
376.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
782
13.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
757
12.6 IPS |
|
|
Image Segmentation (I8)
|
97% |
1401
23.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
5114
6.19 IPS |
|
|
Pose Estimation (F16)
|
100% |
5031
6.09 IPS |
|
|
Pose Estimation (I8)
|
100% |
5932
7.18 IPS |
|
|
Object Detection (F32)
|
100% |
1092
81.5 IPS |
|
|
Object Detection (F16)
|
100% |
1079
80.6 IPS |
|
|
Object Detection (I8)
|
60% |
1075
80.3 IPS |
|
|
Face Detection (F32)
|
100% |
1391
16.5 IPS |
|
|
Face Detection (F16)
|
100% |
1390
16.5 IPS |
|
|
Face Detection (I8)
|
87% |
2184
26.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
4974
38.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
4968
38.5 IPS |
|
|
Depth Estimation (I8)
|
74% |
5950
46.1 IPS |
|
|
Style Transfer (F32)
|
100% |
11318
14.9 IPS |
|
|
Style Transfer (F16)
|
100% |
11315
14.9 IPS |
|
|
Style Transfer (I8)
|
85% |
8456
11.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2176
77.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2186
78.1 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
1958
69.9 IPS |
|
|
Text Classification (F32)
|
100% |
1119
1.61 KIPS |
|
|
Text Classification (F16)
|
100% |
1132
1.63 KIPS |
|
|
Text Classification (I8)
|
94% |
323
464.9 IPS |
|
|
Machine Translation (F32)
|
100% |
1241
22.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1266
23.3 IPS |
|
|
Machine Translation (I8)
|
67% |
1753
32.3 IPS |
