Micro-Star International Co., Ltd. MS-7C56
Geekbench AI Score
3017
Single Precision Score
1373
Half Precision Score
4869
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 11 2025 05:12 PM |
| Views | 1 |
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. MPG B550 GAMING PLUS (MS-7C56) |
| Power Plan | Balanced |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2071
385.1 IPS |
|
|
Image Classification (HP)
|
100% |
539
100.2 IPS |
|
|
Image Classification (Q)
|
96% |
4253
794.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1639
26.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
749
12.1 IPS |
|
|
Image Segmentation (Q)
|
97% |
5090
82.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4237
4.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
3585
4.18 IPS |
|
|
Pose Estimation (Q)
|
86% |
9900
11.7 IPS |
|
|
Object Detection (SP)
|
100% |
2045
162.2 IPS |
|
|
Object Detection (HP)
|
100% |
664
52.7 IPS |
|
|
Object Detection (Q)
|
58% |
2852
311.6 IPS |
|
|
Face Detection (SP)
|
100% |
6051
71.9 IPS |
|
|
Face Detection (HP)
|
100% |
1547
18.4 IPS |
|
|
Face Detection (Q)
|
96% |
7352
87.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5508
42.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1849
14.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
9477
75.6 IPS |
|
|
Style Transfer (SP)
|
100% |
10346
13.3 IPS |
|
|
Style Transfer (HP)
|
100% |
8224
10.6 IPS |
|
|
Style Transfer (Q)
|
87% |
14768
19.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1837
67.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1556
57.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3484
129.1 IPS |
|
|
Text Classification (SP)
|
100% |
1429
1.91 KIPS |
|
|
Text Classification (HP)
|
100% |
773
1.03 KIPS |
|
|
Text Classification (Q)
|
97% |
1181
1.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
2350
40.5 IPS |
|
|
Machine Translation (HP)
|
100% |
879
15.1 IPS |
|
|
Machine Translation (Q)
|
68% |
2898
56.0 IPS |
