Micro-Star International Co., Ltd. MS-7C56
Geekbench AI Score
3061
Single Precision Score
1277
Half Precision Score
4893
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 26 2024 11:15 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 5900X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C56 |
| Motherboard | Micro-Star International Co., Ltd. B550-A PRO (MS-7C56) |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2256
419.5 IPS |
|
|
Image Classification (HP)
|
100% |
465
86.5 IPS |
|
|
Image Classification (Q)
|
96% |
4810
898.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1500
24.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
638
10.3 IPS |
|
|
Image Segmentation (Q)
|
97% |
2742
44.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5861
6.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
4732
5.52 IPS |
|
|
Pose Estimation (Q)
|
86% |
14535
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
2293
181.9 IPS |
|
|
Object Detection (HP)
|
100% |
581
46.1 IPS |
|
|
Object Detection (Q)
|
58% |
3608
394.3 IPS |
|
|
Face Detection (SP)
|
100% |
5164
61.4 IPS |
|
|
Face Detection (HP)
|
100% |
1296
15.4 IPS |
|
|
Face Detection (Q)
|
96% |
8186
97.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6771
52.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1916
14.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
10963
87.5 IPS |
|
|
Style Transfer (SP)
|
100% |
14166
18.2 IPS |
|
|
Style Transfer (HP)
|
100% |
11732
15.1 IPS |
|
|
Style Transfer (Q)
|
87% |
18695
24.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1849
68.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1661
61.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2676
99.2 IPS |
|
|
Text Classification (SP)
|
100% |
1073
1.43 KIPS |
|
|
Text Classification (HP)
|
100% |
514
686.2 IPS |
|
|
Text Classification (Q)
|
97% |
1156
1.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
1621
27.9 IPS |
|
|
Machine Translation (HP)
|
100% |
572
9.85 IPS |
|
|
Machine Translation (Q)
|
68% |
2195
42.4 IPS |
