Micro-Star International Co., Ltd. MS-7C56
Geekbench AI Score
2572
Single Precision Score
1255
Half Precision Score
4323
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | dmitry933 |
| Upload Date | December 20 2025 09:52 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 5600 |
| System Information | |
|---|---|
| Operating System | 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) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1822
338.8 IPS |
|
|
Image Classification (HP)
|
100% |
496
92.2 IPS |
|
|
Image Classification (Q)
|
96% |
3602
672.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1296
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
682
11.1 IPS |
|
|
Image Segmentation (Q)
|
97% |
4106
66.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3568
4.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
3040
3.55 IPS |
|
|
Pose Estimation (Q)
|
86% |
8090
9.56 IPS |
|
|
Object Detection (SP)
|
100% |
1769
140.3 IPS |
|
|
Object Detection (HP)
|
100% |
598
47.4 IPS |
|
|
Object Detection (Q)
|
58% |
2482
271.2 IPS |
|
|
Face Detection (SP)
|
100% |
4219
50.1 IPS |
|
|
Face Detection (HP)
|
100% |
1311
15.6 IPS |
|
|
Face Detection (Q)
|
96% |
6571
78.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4566
35.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1734
13.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
8054
64.3 IPS |
|
|
Style Transfer (SP)
|
100% |
9207
11.8 IPS |
|
|
Style Transfer (HP)
|
100% |
7468
9.60 IPS |
|
|
Style Transfer (Q)
|
87% |
12722
16.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1616
59.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1444
53.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3167
117.4 IPS |
|
|
Text Classification (SP)
|
100% |
1538
2.05 KIPS |
|
|
Text Classification (HP)
|
100% |
824
1.10 KIPS |
|
|
Text Classification (Q)
|
97% |
1257
1.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
1932
33.3 IPS |
|
|
Machine Translation (HP)
|
100% |
783
13.5 IPS |
|
|
Machine Translation (Q)
|
68% |
2865
55.4 IPS |
