Micro-Star International Co., Ltd. MS-7C94
Geekbench AI Score
2814
Single Precision Score
1229
Half Precision Score
3610
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | December 30 2024 07:02 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 5900X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C94 |
| Motherboard | Micro-Star International Co., Ltd. MAG B550M MORTAR WIFI (MS-7C94) |
| Power Plan | G tasarrufu |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1443
268.4 IPS |
|
|
Image Classification (HP)
|
100% |
396
73.7 IPS |
|
|
Image Classification (Q)
|
96% |
3030
565.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1591
25.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
675
10.9 IPS |
|
|
Image Segmentation (Q)
|
97% |
2380
38.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5706
6.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
4640
5.41 IPS |
|
|
Pose Estimation (Q)
|
87% |
11307
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
1725
136.8 IPS |
|
|
Object Detection (HP)
|
100% |
518
41.1 IPS |
|
|
Object Detection (Q)
|
86% |
1647
132.4 IPS |
|
|
Face Detection (SP)
|
100% |
2752
32.7 IPS |
|
|
Face Detection (HP)
|
100% |
1285
15.3 IPS |
|
|
Face Detection (Q)
|
96% |
4015
47.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6181
47.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1731
13.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
6194
49.6 IPS |
|
|
Style Transfer (SP)
|
100% |
14014
18.0 IPS |
|
|
Style Transfer (HP)
|
100% |
11870
15.3 IPS |
|
|
Style Transfer (Q)
|
87% |
17330
22.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2096
77.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1783
65.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2630
97.4 IPS |
|
|
Text Classification (SP)
|
100% |
1443
1.93 KIPS |
|
|
Text Classification (HP)
|
100% |
501
668.8 IPS |
|
|
Text Classification (Q)
|
97% |
1148
1.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
1914
33.0 IPS |
|
|
Machine Translation (HP)
|
100% |
521
8.97 IPS |
|
|
Machine Translation (Q)
|
60% |
2152
48.0 IPS |
