Micro-Star International Co., Ltd. MS-7A38
Geekbench ML Score
1949
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | robertobini |
| Upload Date | July 18 2024 03:43 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7A38 |
| Motherboard | Micro-Star International Co., Ltd. B450M PRO-VDH MAX (MS-7A38) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 3600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 6 Cores |
| L1 Instruction Cache | 32.0 KB x 6 |
| L1 Data Cache | 32.0 KB x 6 |
| L2 Cache | 512 KB x 6 |
| L3 Cache | 16.0 MB x 2 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
980
183.3 IPS |
|
|
Image Classification (F16)
|
100% |
962
179.9 IPS |
|
|
Image Classification (I8)
|
97% |
1487
278.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
616
10.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
596
9.95 IPS |
|
|
Image Segmentation (I8)
|
97% |
1118
18.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
4606
5.58 IPS |
|
|
Pose Estimation (F16)
|
100% |
4649
5.63 IPS |
|
|
Pose Estimation (I8)
|
100% |
4642
5.62 IPS |
|
|
Object Detection (F32)
|
100% |
1151
85.9 IPS |
|
|
Object Detection (F16)
|
100% |
1160
86.6 IPS |
|
|
Object Detection (I8)
|
60% |
964
72.0 IPS |
|
|
Face Detection (F32)
|
100% |
1891
22.5 IPS |
|
|
Face Detection (F16)
|
100% |
1873
22.3 IPS |
|
|
Face Detection (I8)
|
87% |
2517
29.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
4794
37.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
4780
37.1 IPS |
|
|
Depth Estimation (I8)
|
74% |
4986
38.7 IPS |
|
|
Style Transfer (F32)
|
100% |
10334
13.6 IPS |
|
|
Style Transfer (F16)
|
100% |
10245
13.5 IPS |
|
|
Style Transfer (I8)
|
85% |
8710
11.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2005
71.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1993
71.2 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
1738
62.1 IPS |
|
|
Text Classification (F32)
|
100% |
963
1.38 KIPS |
|
|
Text Classification (F16)
|
100% |
961
1.38 KIPS |
|
|
Text Classification (I8)
|
94% |
308
442.8 IPS |
|
|
Machine Translation (F32)
|
100% |
1421
26.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1458
26.8 IPS |
|
|
Machine Translation (I8)
|
67% |
1768
32.5 IPS |
