Upload Date | September 17 2025 12:34 PM |
Views | 2 |
AI Information | |
---|---|
Framework | OpenVINO |
Backend | CPU |
Device | AMD Ryzen 5 9600 6-Core Processor |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Home (64-bit) |
Model | Micro-Star International Co., Ltd. MS-7E77 |
Motherboard | Micro-Star International Co., Ltd. PRO B840M-P WIFI6E (MS-7E77) |
Power Plan | Balanced |
CPU Information | |
---|---|
Name | AMD Ryzen 5 9600 |
Topology | 1 Processor, 6 Cores, 12 Threads |
Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
Base Frequency | 3.80 GHz |
Cluster 1 | 6 Cores |
Memory Information | |
---|---|
Size | 128.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
6278
1.17 KIPS |
|
Image Classification (HP)
|
100% |
6281
1.17 KIPS |
|
Image Classification (Q)
|
100% |
16756
3.12 KIPS |
|
Image Segmentation (SP)
|
100% |
6252
101.3 IPS |
|
Image Segmentation (HP)
|
100% |
6286
101.9 IPS |
|
Image Segmentation (Q)
|
99% |
17109
277.4 IPS |
|
Pose Estimation (SP)
|
100% |
11852
13.8 IPS |
|
Pose Estimation (HP)
|
100% |
11932
13.9 IPS |
|
Pose Estimation (Q)
|
98% |
48076
56.3 IPS |
|
Object Detection (SP)
|
100% |
5830
462.4 IPS |
|
Object Detection (HP)
|
100% |
5789
459.2 IPS |
|
Object Detection (Q)
|
88% |
17418
1.40 KIPS |
|
Face Detection (SP)
|
100% |
11232
133.5 IPS |
|
Face Detection (HP)
|
100% |
11261
133.8 IPS |
|
Face Detection (Q)
|
100% |
40521
481.5 IPS |
|
Depth Estimation (SP)
|
100% |
13713
105.7 IPS |
|
Depth Estimation (HP)
|
99% |
13752
106.0 IPS |
|
Depth Estimation (Q)
|
88% |
43490
338.4 IPS |
|
Style Transfer (SP)
|
100% |
32875
42.3 IPS |
|
Style Transfer (HP)
|
100% |
33060
42.5 IPS |
|
Style Transfer (Q)
|
98% |
123527
159.3 IPS |
|
Image Super-Resolution (SP)
|
100% |
7462
275.5 IPS |
|
Image Super-Resolution (HP)
|
100% |
7670
283.2 IPS |
|
Image Super-Resolution (Q)
|
99% |
24602
911.1 IPS |
|
Text Classification (SP)
|
100% |
5589
7.46 KIPS |
|
Text Classification (HP)
|
100% |
5639
7.53 KIPS |
|
Text Classification (Q)
|
92% |
8774
11.8 KIPS |
|
Machine Translation (SP)
|
100% |
9407
162.0 IPS |
|
Machine Translation (HP)
|
100% |
9312
160.4 IPS |
|
Machine Translation (Q)
|
100% |
13196
227.3 IPS |