Micro-Star International Co., Ltd. MS-7C56
Geekbench AI Score
2850
Single Precision Score
2887
Half Precision Score
3104
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 16 2025 07:28 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 3500X 6-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Education (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 5 3500X |
| Topology | 1 Processor, 6 Cores |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1783
331.6 IPS |
|
|
Image Classification (HP)
|
100% |
1845
343.1 IPS |
|
|
Image Classification (Q)
|
100% |
1930
359.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
838
13.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
896
14.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2370
38.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4337
5.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
4334
5.06 IPS |
|
|
Pose Estimation (Q)
|
94% |
4536
5.32 IPS |
|
|
Object Detection (SP)
|
100% |
1806
143.2 IPS |
|
|
Object Detection (HP)
|
100% |
1779
141.1 IPS |
|
|
Object Detection (Q)
|
87% |
2075
166.5 IPS |
|
|
Face Detection (SP)
|
100% |
4389
52.2 IPS |
|
|
Face Detection (HP)
|
100% |
4397
52.2 IPS |
|
|
Face Detection (Q)
|
97% |
6579
78.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4988
38.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
4949
38.1 IPS |
|
|
Depth Estimation (Q)
|
81% |
5303
41.8 IPS |
|
|
Style Transfer (SP)
|
100% |
12047
15.5 IPS |
|
|
Style Transfer (HP)
|
100% |
12127
15.6 IPS |
|
|
Style Transfer (Q)
|
98% |
12698
16.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2487
91.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2496
92.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2692
99.7 IPS |
|
|
Text Classification (SP)
|
100% |
1703
2.27 KIPS |
|
|
Text Classification (HP)
|
100% |
1736
2.32 KIPS |
|
|
Text Classification (Q)
|
91% |
603
809.8 IPS |
|
|
Machine Translation (SP)
|
100% |
2712
46.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2767
47.7 IPS |
|
|
Machine Translation (Q)
|
100% |
2686
46.3 IPS |
