Micro-Star International Co., Ltd. MS-7C91
Geekbench ML Score
1983
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 17 2024 02:02 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro for Workstations (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 5 5600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.50 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 | 32.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon HD 7800 Series |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
867
162.3 IPS |
|
|
Image Classification (F16)
|
100% |
864
161.7 IPS |
|
|
Image Classification (I8)
|
100% |
746
139.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1377
23.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1374
22.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
1151
19.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
6144
7.44 IPS |
|
|
Pose Estimation (F16)
|
100% |
6122
7.41 IPS |
|
|
Pose Estimation (I8)
|
100% |
5706
6.91 IPS |
|
|
Object Detection (F32)
|
100% |
1015
75.8 IPS |
|
|
Object Detection (F16)
|
100% |
1017
75.9 IPS |
|
|
Object Detection (I8)
|
67% |
902
67.3 IPS |
|
|
Face Detection (F32)
|
100% |
2079
24.7 IPS |
|
|
Face Detection (F16)
|
100% |
2079
24.7 IPS |
|
|
Face Detection (I8)
|
89% |
1703
20.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
4056
31.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
4063
31.5 IPS |
|
|
Depth Estimation (I8)
|
95% |
3562
27.6 IPS |
|
|
Style Transfer (F32)
|
100% |
12036
15.8 IPS |
|
|
Style Transfer (F16)
|
100% |
11914
15.7 IPS |
|
|
Style Transfer (I8)
|
98% |
11003
14.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2873
102.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2868
102.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2329
83.2 IPS |
|
|
Text Classification (F32)
|
100% |
702
1.01 KIPS |
|
|
Text Classification (F16)
|
100% |
704
1.01 KIPS |
|
|
Text Classification (I8)
|
98% |
456
654.7 IPS |
|
|
Machine Translation (F32)
|
100% |
1310
24.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1308
24.1 IPS |
|
|
Machine Translation (I8)
|
69% |
677
12.5 IPS |
