Micro-Star International Co., Ltd. MS-7C56
Geekbench AI Score
3946
Single Precision Score
3972
Half Precision Score
6294
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | gundar |
| Upload Date | September 09 2024 04:33 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 5600X 6-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft 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) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2690
500.2 IPS |
|
|
Image Classification (HP)
|
100% |
2690
500.2 IPS |
|
|
Image Classification (Q)
|
100% |
4021
747.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2059
33.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2103
34.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4068
66.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4800
5.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
4843
5.65 IPS |
|
|
Pose Estimation (Q)
|
94% |
9995
11.7 IPS |
|
|
Object Detection (SP)
|
100% |
2497
198.1 IPS |
|
|
Object Detection (HP)
|
100% |
2523
200.1 IPS |
|
|
Object Detection (Q)
|
87% |
4258
341.5 IPS |
|
|
Face Detection (SP)
|
100% |
6520
77.5 IPS |
|
|
Face Detection (HP)
|
100% |
6627
78.7 IPS |
|
|
Face Detection (Q)
|
97% |
12003
143.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6312
48.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
6380
49.2 IPS |
|
|
Depth Estimation (Q)
|
81% |
11123
87.8 IPS |
|
|
Style Transfer (SP)
|
100% |
14375
18.5 IPS |
|
|
Style Transfer (HP)
|
100% |
14421
18.5 IPS |
|
|
Style Transfer (Q)
|
98% |
28694
37.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2956
109.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2996
110.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5943
220.1 IPS |
|
|
Text Classification (SP)
|
100% |
1988
2.65 KIPS |
|
|
Text Classification (HP)
|
100% |
1980
2.64 KIPS |
|
|
Text Classification (Q)
|
91% |
1544
2.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
3972
68.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3911
67.4 IPS |
|
|
Machine Translation (Q)
|
100% |
3992
68.8 IPS |
