Micro-Star International Co., Ltd. MS-7C94
Geekbench AI Score
2940
Single Precision Score
1349
Half Precision Score
4247
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | ajebulon |
| Upload Date | February 16 2025 12:15 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 5600 |
| 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% |
2154
400.6 IPS |
|
|
Image Classification (HP)
|
100% |
559
104.0 IPS |
|
|
Image Classification (Q)
|
96% |
4039
754.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1622
26.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
762
12.3 IPS |
|
|
Image Segmentation (Q)
|
97% |
2323
37.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4034
4.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
3357
3.92 IPS |
|
|
Pose Estimation (Q)
|
86% |
8778
10.4 IPS |
|
|
Object Detection (SP)
|
100% |
2098
166.4 IPS |
|
|
Object Detection (HP)
|
100% |
704
55.9 IPS |
|
|
Object Detection (Q)
|
58% |
2849
311.3 IPS |
|
|
Face Detection (SP)
|
100% |
4230
50.3 IPS |
|
|
Face Detection (HP)
|
100% |
1436
17.1 IPS |
|
|
Face Detection (Q)
|
96% |
6861
81.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5587
43.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1894
14.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
8353
66.7 IPS |
|
|
Style Transfer (SP)
|
100% |
10532
13.5 IPS |
|
|
Style Transfer (HP)
|
100% |
8265
10.6 IPS |
|
|
Style Transfer (Q)
|
87% |
11994
15.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2126
78.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1678
62.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2770
102.6 IPS |
|
|
Text Classification (SP)
|
100% |
1496
2.00 KIPS |
|
|
Text Classification (HP)
|
100% |
744
993.5 IPS |
|
|
Text Classification (Q)
|
97% |
1497
2.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
2067
35.6 IPS |
|
|
Machine Translation (HP)
|
100% |
708
12.2 IPS |
|
|
Machine Translation (Q)
|
68% |
2861
55.3 IPS |
