Micro-Star International Co., Ltd. MS-7C56
Geekbench AI Score
5094
Single Precision Score
5204
Half Precision Score
7384
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 19 2025 10:43 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 5900XT 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C56 |
| Motherboard | Micro-Star International Co., Ltd. B550-A PRO (MS-7C56) |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900XT 16-Core Processor |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2981
554.4 IPS |
|
|
Image Classification (HP)
|
100% |
3246
603.6 IPS |
|
|
Image Classification (Q)
|
100% |
5340
993.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
4053
65.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4142
67.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
7671
124.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8406
9.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
7847
9.16 IPS |
|
|
Pose Estimation (Q)
|
94% |
18318
21.5 IPS |
|
|
Object Detection (SP)
|
100% |
2992
237.3 IPS |
|
|
Object Detection (HP)
|
100% |
3141
249.2 IPS |
|
|
Object Detection (Q)
|
87% |
5935
476.0 IPS |
|
|
Face Detection (SP)
|
100% |
6772
80.5 IPS |
|
|
Face Detection (HP)
|
100% |
7037
83.6 IPS |
|
|
Face Detection (Q)
|
97% |
18028
215.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7971
61.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
8515
65.6 IPS |
|
|
Depth Estimation (Q)
|
81% |
17790
140.3 IPS |
|
|
Style Transfer (SP)
|
100% |
24115
31.0 IPS |
|
|
Style Transfer (HP)
|
100% |
24814
31.9 IPS |
|
|
Style Transfer (Q)
|
98% |
52096
67.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4909
181.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4865
179.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
9810
363.4 IPS |
|
|
Text Classification (SP)
|
100% |
2421
3.23 KIPS |
|
|
Text Classification (HP)
|
100% |
2369
3.16 KIPS |
|
|
Text Classification (Q)
|
91% |
242
325.4 IPS |
|
|
Machine Translation (SP)
|
100% |
2506
43.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2567
44.2 IPS |
|
|
Machine Translation (Q)
|
100% |
2728
47.0 IPS |
