Micro-Star International Co., Ltd. MS-7C56
Geekbench AI Score
3334
Single Precision Score
752
Half Precision Score
3360
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | August 19 2024 03:22 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 5700X3D |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C56 |
| Motherboard | Micro-Star International Co., Ltd. B550-A PRO (MS-7C56) |
| Power Plan | Hchstleistung |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1692
314.7 IPS |
|
|
Image Classification (HP)
|
100% |
138
25.6 IPS |
|
|
Image Classification (Q)
|
97% |
3405
635.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1779
28.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
231
3.74 IPS |
|
|
Image Segmentation (Q)
|
97% |
1776
28.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5461
6.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
4120
4.81 IPS |
|
|
Pose Estimation (Q)
|
87% |
11204
13.2 IPS |
|
|
Object Detection (SP)
|
100% |
2088
165.6 IPS |
|
|
Object Detection (HP)
|
100% |
196
15.5 IPS |
|
|
Object Detection (Q)
|
86% |
1924
154.7 IPS |
|
|
Face Detection (SP)
|
100% |
5267
62.6 IPS |
|
|
Face Detection (HP)
|
100% |
307
3.64 IPS |
|
|
Face Detection (Q)
|
96% |
5066
60.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6581
50.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
924
7.12 IPS |
|
|
Depth Estimation (Q)
|
76% |
6827
55.0 IPS |
|
|
Style Transfer (SP)
|
100% |
14256
18.3 IPS |
|
|
Style Transfer (HP)
|
100% |
10012
12.9 IPS |
|
|
Style Transfer (Q)
|
87% |
17564
22.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2217
81.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1873
69.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3024
112.0 IPS |
|
|
Text Classification (SP)
|
100% |
1823
2.43 KIPS |
|
|
Text Classification (HP)
|
100% |
658
877.6 IPS |
|
|
Text Classification (Q)
|
97% |
371
496.6 IPS |
|
|
Machine Translation (SP)
|
100% |
2476
42.7 IPS |
|
|
Machine Translation (HP)
|
100% |
642
11.1 IPS |
|
|
Machine Translation (Q)
|
60% |
2070
46.2 IPS |
