Micro-Star International Co., Ltd. MS-7C56
Geekbench ML Score
2862
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 16 2024 03:42 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C56 |
| Motherboard | Micro-Star International Co., Ltd. MPG B550 GAMING PLUS (MS-7C56) |
| Power Plan | AMD Ryzen Balanced |
| 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% |
1581
295.8 IPS |
|
|
Image Classification (F16)
|
100% |
1611
301.5 IPS |
|
|
Image Classification (I8)
|
97% |
2752
514.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1593
26.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1621
27.1 IPS |
|
|
Image Segmentation (I8)
|
97% |
1553
25.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
4151
5.03 IPS |
|
|
Pose Estimation (F16)
|
100% |
4251
5.15 IPS |
|
|
Pose Estimation (I8)
|
100% |
10679
12.9 IPS |
|
|
Object Detection (F32)
|
100% |
1465
109.4 IPS |
|
|
Object Detection (F16)
|
100% |
1579
117.9 IPS |
|
|
Object Detection (I8)
|
60% |
1607
120.0 IPS |
|
|
Face Detection (F32)
|
100% |
4096
48.7 IPS |
|
|
Face Detection (F16)
|
100% |
4195
49.9 IPS |
|
|
Face Detection (I8)
|
87% |
4548
54.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
5557
43.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
5047
39.1 IPS |
|
|
Depth Estimation (I8)
|
74% |
8937
69.3 IPS |
|
|
Style Transfer (F32)
|
100% |
11664
15.3 IPS |
|
|
Style Transfer (F16)
|
100% |
11023
14.5 IPS |
|
|
Style Transfer (I8)
|
85% |
14087
18.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2234
79.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2309
82.4 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
2713
96.9 IPS |
|
|
Text Classification (F32)
|
100% |
1329
1.91 KIPS |
|
|
Text Classification (F16)
|
100% |
1290
1.85 KIPS |
|
|
Text Classification (I8)
|
94% |
295
423.6 IPS |
|
|
Machine Translation (F32)
|
100% |
2130
39.2 IPS |
|
|
Machine Translation (F16)
|
100% |
2012
37.0 IPS |
|
|
Machine Translation (I8)
|
67% |
2389
44.0 IPS |
