Micro-Star International Co., Ltd. MS-7C56
Geekbench AI Score
3015
Single Precision Score
1385
Half Precision Score
3343
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 18 2024 07:31 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 5700X |
| 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 | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1862
346.4 IPS |
|
|
Image Classification (HP)
|
100% |
508
94.5 IPS |
|
|
Image Classification (Q)
|
96% |
3565
665.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1780
28.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
806
13.1 IPS |
|
|
Image Segmentation (Q)
|
97% |
2095
34.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4853
5.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
4289
5.00 IPS |
|
|
Pose Estimation (Q)
|
87% |
11050
13.1 IPS |
|
|
Object Detection (SP)
|
100% |
2016
159.9 IPS |
|
|
Object Detection (HP)
|
100% |
648
51.4 IPS |
|
|
Object Detection (Q)
|
86% |
1983
159.4 IPS |
|
|
Face Detection (SP)
|
100% |
2607
31.0 IPS |
|
|
Face Detection (HP)
|
100% |
1518
18.0 IPS |
|
|
Face Detection (Q)
|
96% |
4041
48.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6140
47.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1995
15.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
6048
48.4 IPS |
|
|
Style Transfer (SP)
|
100% |
13224
17.0 IPS |
|
|
Style Transfer (HP)
|
100% |
9932
12.8 IPS |
|
|
Style Transfer (Q)
|
87% |
14460
18.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2374
87.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1881
69.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3282
121.6 IPS |
|
|
Text Classification (SP)
|
100% |
1684
2.25 KIPS |
|
|
Text Classification (HP)
|
100% |
654
873.0 IPS |
|
|
Text Classification (Q)
|
97% |
419
561.3 IPS |
|
|
Machine Translation (SP)
|
100% |
2262
39.0 IPS |
|
|
Machine Translation (HP)
|
100% |
619
10.7 IPS |
|
|
Machine Translation (Q)
|
60% |
2197
49.0 IPS |
