Micro-Star International Co., Ltd. MS-7C56
Geekbench AI Score
4618
Single Precision Score
4606
Half Precision Score
7127
Quantized Score
Geekbench AI 1.0.0 for Linux AVX2
Result Information
| User | smtahmid |
| Upload Date | August 19 2024 04:41 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 5600 6-Core Processor |
| System Information | |
|---|---|
| Operating System | Fedora Linux 40 (Workstation Edition) |
| Model | Micro-Star International Co., Ltd. MS-7C56 |
| Motherboard | Micro-Star International Co., Ltd. B550-A PRO (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 | 4.68 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 31.27 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3084
573.5 IPS |
|
|
Image Classification (HP)
|
100% |
3081
573.0 IPS |
|
|
Image Classification (Q)
|
100% |
4510
838.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2405
39.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2288
37.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3317
53.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5621
6.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
5632
6.57 IPS |
|
|
Pose Estimation (Q)
|
94% |
11329
13.3 IPS |
|
|
Object Detection (SP)
|
100% |
2885
228.8 IPS |
|
|
Object Detection (HP)
|
100% |
2876
228.1 IPS |
|
|
Object Detection (Q)
|
87% |
4846
388.7 IPS |
|
|
Face Detection (SP)
|
100% |
7253
86.2 IPS |
|
|
Face Detection (HP)
|
100% |
7273
86.4 IPS |
|
|
Face Detection (Q)
|
97% |
13612
162.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7397
57.0 IPS |
|
|
Depth Estimation (HP)
|
100% |
7418
57.2 IPS |
|
|
Depth Estimation (Q)
|
79% |
12977
102.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16624
21.4 IPS |
|
|
Style Transfer (HP)
|
100% |
16238
20.9 IPS |
|
|
Style Transfer (Q)
|
98% |
31468
40.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3477
128.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3560
131.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
6735
249.5 IPS |
|
|
Text Classification (SP)
|
100% |
2556
3.41 KIPS |
|
|
Text Classification (HP)
|
100% |
2561
3.42 KIPS |
|
|
Text Classification (Q)
|
91% |
2186
2.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
4630
79.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4720
81.3 IPS |
|
|
Machine Translation (Q)
|
90% |
5037
87.5 IPS |
