Micro-Star International Co., Ltd. MS-7C56
Geekbench AI Score
2401
Single Precision Score
1220
Half Precision Score
2913
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | gundar |
| Upload Date | September 09 2024 04:29 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 5600X |
| 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 | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1439
267.6 IPS |
|
|
Image Classification (HP)
|
100% |
483
89.7 IPS |
|
|
Image Classification (Q)
|
96% |
2995
559.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1352
21.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
694
11.3 IPS |
|
|
Image Segmentation (Q)
|
97% |
1614
26.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3608
4.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
2934
3.42 IPS |
|
|
Pose Estimation (Q)
|
87% |
8289
9.79 IPS |
|
|
Object Detection (SP)
|
100% |
1508
119.6 IPS |
|
|
Object Detection (HP)
|
100% |
603
47.8 IPS |
|
|
Object Detection (Q)
|
86% |
1756
141.2 IPS |
|
|
Face Detection (SP)
|
100% |
2882
34.2 IPS |
|
|
Face Detection (HP)
|
100% |
1403
16.7 IPS |
|
|
Face Detection (Q)
|
96% |
3839
45.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4220
32.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1815
14.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
5130
41.1 IPS |
|
|
Style Transfer (SP)
|
100% |
9058
11.6 IPS |
|
|
Style Transfer (HP)
|
100% |
7595
9.76 IPS |
|
|
Style Transfer (Q)
|
87% |
13405
17.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1698
62.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1541
56.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2840
105.2 IPS |
|
|
Text Classification (SP)
|
100% |
1595
2.13 KIPS |
|
|
Text Classification (HP)
|
100% |
675
900.6 IPS |
|
|
Text Classification (Q)
|
97% |
406
543.1 IPS |
|
|
Machine Translation (SP)
|
100% |
2019
34.8 IPS |
|
|
Machine Translation (HP)
|
100% |
615
10.6 IPS |
|
|
Machine Translation (Q)
|
60% |
2060
45.9 IPS |
