Micro-Star International Co., Ltd. MS-7C94
Geekbench AI Score
3857
Single Precision Score
3999
Half Precision Score
6216
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | ajebulon |
| Upload Date | February 16 2025 12:40 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 5600 6-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C94 |
| Motherboard | Micro-Star International Co., Ltd. MAG B550M MORTAR MAX WIFI (MS-7C94) |
| Power Plan | Balanced |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2626
488.3 IPS |
|
|
Image Classification (HP)
|
100% |
2673
497.1 IPS |
|
|
Image Classification (Q)
|
100% |
4077
758.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2978
48.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2912
47.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4468
72.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4747
5.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
4819
5.62 IPS |
|
|
Pose Estimation (Q)
|
94% |
10225
12.0 IPS |
|
|
Object Detection (SP)
|
100% |
2476
196.4 IPS |
|
|
Object Detection (HP)
|
100% |
2491
197.6 IPS |
|
|
Object Detection (Q)
|
87% |
4318
346.3 IPS |
|
|
Face Detection (SP)
|
100% |
5775
68.6 IPS |
|
|
Face Detection (HP)
|
100% |
5775
68.6 IPS |
|
|
Face Detection (Q)
|
97% |
11827
141.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4669
36.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
5204
40.1 IPS |
|
|
Depth Estimation (Q)
|
81% |
9218
72.8 IPS |
|
|
Style Transfer (SP)
|
100% |
11305
14.5 IPS |
|
|
Style Transfer (HP)
|
100% |
14101
18.1 IPS |
|
|
Style Transfer (Q)
|
98% |
28939
37.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2969
109.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2960
109.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5990
221.9 IPS |
|
|
Text Classification (SP)
|
100% |
2396
3.20 KIPS |
|
|
Text Classification (HP)
|
100% |
2372
3.17 KIPS |
|
|
Text Classification (Q)
|
91% |
1521
2.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
3664
63.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3764
64.8 IPS |
|
|
Machine Translation (Q)
|
100% |
3727
64.2 IPS |
