Micro-Star International Co., Ltd. MS-7E49
Geekbench ML Score
7298
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 29 2024 12:31 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E49 |
| Motherboard | Micro-Star International Co., Ltd. MPG X870E CARBON WIFI (MS-7E49) |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D 8-Core Processor |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 48.0 KB x 8 |
| L2 Cache | 1.00 MB 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% |
4229
791.4 IPS |
|
|
Image Classification (F16)
|
100% |
3958
740.6 IPS |
|
|
Image Classification (I8)
|
99% |
7636
1.43 KIPS |
|
|
Image Segmentation (F32)
|
100% |
3067
51.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
3178
53.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
4492
75.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
16949
20.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
16831
20.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
45237
54.8 IPS |
|
|
Object Detection (F32)
|
100% |
2785
207.9 IPS |
|
|
Object Detection (F16)
|
100% |
2781
207.6 IPS |
|
|
Object Detection (I8)
|
62% |
2847
212.6 IPS |
|
|
Face Detection (F32)
|
100% |
9814
116.7 IPS |
|
|
Face Detection (F16)
|
100% |
9888
117.6 IPS |
|
|
Face Detection (I8)
|
89% |
9552
113.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
17340
134.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
17242
133.7 IPS |
|
|
Depth Estimation (I8)
|
96% |
31409
243.6 IPS |
|
|
Style Transfer (F32)
|
100% |
21787
28.7 IPS |
|
|
Style Transfer (F16)
|
100% |
38522
50.7 IPS |
|
|
Style Transfer (I8)
|
98% |
41746
54.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4108
146.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4117
147.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
6570
234.6 IPS |
|
|
Text Classification (F32)
|
100% |
2591
3.72 KIPS |
|
|
Text Classification (F16)
|
100% |
2584
3.71 KIPS |
|
|
Text Classification (I8)
|
98% |
1596
2.29 KIPS |
|
|
Machine Translation (F32)
|
100% |
4929
90.7 IPS |
|
|
Machine Translation (F16)
|
100% |
4926
90.7 IPS |
|
|
Machine Translation (I8)
|
67% |
5638
103.8 IPS |
