Micro-Star International Co., Ltd. MS-7C91
Geekbench ML Score
3627
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 06 2024 07:40 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C91 |
| Motherboard | Micro-Star International Co., Ltd. MAG B550 TOMAHAWK (MS-7C91) |
| 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% |
2065
386.5 IPS |
|
|
Image Classification (F16)
|
100% |
1934
361.9 IPS |
|
|
Image Classification (I8)
|
97% |
3507
656.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
2012
33.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1901
31.8 IPS |
|
|
Image Segmentation (I8)
|
97% |
1984
33.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
5102
6.18 IPS |
|
|
Pose Estimation (F16)
|
100% |
5432
6.58 IPS |
|
|
Pose Estimation (I8)
|
100% |
12157
14.7 IPS |
|
|
Object Detection (F32)
|
100% |
1505
112.3 IPS |
|
|
Object Detection (F16)
|
100% |
1936
144.5 IPS |
|
|
Object Detection (I8)
|
60% |
2078
155.2 IPS |
|
|
Face Detection (F32)
|
100% |
5575
66.3 IPS |
|
|
Face Detection (F16)
|
100% |
5187
61.7 IPS |
|
|
Face Detection (I8)
|
87% |
4915
58.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
8617
66.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
7752
60.1 IPS |
|
|
Depth Estimation (I8)
|
74% |
13463
104.4 IPS |
|
|
Style Transfer (F32)
|
100% |
15167
20.0 IPS |
|
|
Style Transfer (F16)
|
100% |
15806
20.8 IPS |
|
|
Style Transfer (I8)
|
85% |
15198
20.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3475
124.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2399
85.7 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
3615
129.1 IPS |
|
|
Text Classification (F32)
|
100% |
1875
2.69 KIPS |
|
|
Text Classification (F16)
|
100% |
1717
2.47 KIPS |
|
|
Text Classification (I8)
|
94% |
348
500.3 IPS |
|
|
Machine Translation (F32)
|
100% |
2588
47.6 IPS |
|
|
Machine Translation (F16)
|
100% |
2649
48.8 IPS |
|
|
Machine Translation (I8)
|
67% |
2631
48.4 IPS |
