Micro-Star International Co., Ltd. MS-7C56
Geekbench AI Score
3158
Single Precision Score
3152
Half Precision Score
3436
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 16 2025 07:41 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 | 4.20 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2017
375.1 IPS |
|
|
Image Classification (HP)
|
100% |
1982
368.6 IPS |
|
|
Image Classification (Q)
|
100% |
2166
402.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
986
16.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
965
15.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2719
44.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4927
5.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
4898
5.71 IPS |
|
|
Pose Estimation (Q)
|
94% |
5150
6.04 IPS |
|
|
Object Detection (SP)
|
100% |
1934
153.4 IPS |
|
|
Object Detection (HP)
|
100% |
1898
150.6 IPS |
|
|
Object Detection (Q)
|
87% |
2239
179.6 IPS |
|
|
Face Detection (SP)
|
100% |
4649
55.2 IPS |
|
|
Face Detection (HP)
|
100% |
4656
55.3 IPS |
|
|
Face Detection (Q)
|
97% |
7256
86.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5397
41.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
5474
42.2 IPS |
|
|
Depth Estimation (Q)
|
81% |
5918
46.7 IPS |
|
|
Style Transfer (SP)
|
100% |
13330
17.1 IPS |
|
|
Style Transfer (HP)
|
100% |
13358
17.2 IPS |
|
|
Style Transfer (Q)
|
98% |
14220
18.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2756
101.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2758
101.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2983
110.5 IPS |
|
|
Text Classification (SP)
|
100% |
1924
2.57 KIPS |
|
|
Text Classification (HP)
|
100% |
1956
2.61 KIPS |
|
|
Text Classification (Q)
|
91% |
652
876.6 IPS |
|
|
Machine Translation (SP)
|
100% |
2944
50.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2970
51.2 IPS |
|
|
Machine Translation (Q)
|
100% |
2851
49.1 IPS |
