Micro-Star International Co., Ltd. MS-7C94
Geekbench AI Score
4159
Single Precision Score
4139
Half Precision Score
6504
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | ajebulon |
| Upload Date | August 18 2024 01:43 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% |
2255
419.3 IPS |
|
|
Image Classification (HP)
|
100% |
2040
379.3 IPS |
|
|
Image Classification (Q)
|
100% |
4210
783.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2174
35.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2182
35.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4239
68.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5345
6.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
5369
6.27 IPS |
|
|
Pose Estimation (Q)
|
94% |
11019
12.9 IPS |
|
|
Object Detection (SP)
|
100% |
2728
216.4 IPS |
|
|
Object Detection (HP)
|
100% |
2763
219.2 IPS |
|
|
Object Detection (Q)
|
87% |
4510
361.7 IPS |
|
|
Face Detection (SP)
|
100% |
6738
80.1 IPS |
|
|
Face Detection (HP)
|
100% |
6724
79.9 IPS |
|
|
Face Detection (Q)
|
97% |
12883
153.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6926
53.4 IPS |
|
|
Depth Estimation (HP)
|
100% |
6954
53.6 IPS |
|
|
Depth Estimation (Q)
|
79% |
12380
98.2 IPS |
|
|
Style Transfer (SP)
|
100% |
15763
20.3 IPS |
|
|
Style Transfer (HP)
|
100% |
15810
20.3 IPS |
|
|
Style Transfer (Q)
|
98% |
29655
38.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3271
120.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3342
123.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
6516
241.3 IPS |
|
|
Text Classification (SP)
|
100% |
2102
2.81 KIPS |
|
|
Text Classification (HP)
|
100% |
2132
2.85 KIPS |
|
|
Text Classification (Q)
|
91% |
1518
2.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
4286
73.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4245
73.1 IPS |
|
|
Machine Translation (Q)
|
90% |
3267
56.8 IPS |
