| Upload Date | October 30 2025 01:06 AM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 9500F 6-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E59 |
| Motherboard | Micro-Star International Co., Ltd. MAG X870E TOMAHAWK WIFI (MS-7E59) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 9500F 6-Core Processor |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 1 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6097
1.13 KIPS |
|
|
Image Classification (HP)
|
100% |
6065
1.13 KIPS |
|
|
Image Classification (Q)
|
100% |
16606
3.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5700
92.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
5847
94.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
16940
274.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11650
13.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
11673
13.6 IPS |
|
|
Pose Estimation (Q)
|
98% |
48087
56.3 IPS |
|
|
Object Detection (SP)
|
100% |
6024
477.8 IPS |
|
|
Object Detection (HP)
|
100% |
6029
478.2 IPS |
|
|
Object Detection (Q)
|
88% |
17359
1.39 KIPS |
|
|
Face Detection (SP)
|
100% |
10928
129.8 IPS |
|
|
Face Detection (HP)
|
100% |
10848
128.9 IPS |
|
|
Face Detection (Q)
|
100% |
38755
460.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
14504
111.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
14319
110.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
44905
349.4 IPS |
|
|
Style Transfer (SP)
|
100% |
31171
40.1 IPS |
|
|
Style Transfer (HP)
|
100% |
31645
40.7 IPS |
|
|
Style Transfer (Q)
|
98% |
120134
154.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6980
257.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7154
264.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23685
877.2 IPS |
|
|
Text Classification (SP)
|
100% |
5423
7.24 KIPS |
|
|
Text Classification (HP)
|
100% |
5434
7.25 KIPS |
|
|
Text Classification (Q)
|
92% |
8678
11.7 KIPS |
|
|
Machine Translation (SP)
|
100% |
9603
165.4 IPS |
|
|
Machine Translation (HP)
|
100% |
9777
168.4 IPS |
|
|
Machine Translation (Q)
|
100% |
11337
195.3 IPS |