| Upload Date | November 12 2025 03:22 AM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) B570 Graphics (dGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| 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 | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11267
2.10 KIPS |
|
|
Image Classification (HP)
|
100% |
19987
3.72 KIPS |
|
|
Image Classification (Q)
|
100% |
18073
3.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20556
333.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
35751
579.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
37723
611.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
75544
88.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
316081
368.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
600927
703.5 IPS |
|
|
Object Detection (SP)
|
100% |
9912
786.2 IPS |
|
|
Object Detection (HP)
|
100% |
23133
1.83 KIPS |
|
|
Object Detection (Q)
|
88% |
21476
1.72 KIPS |
|
|
Face Detection (SP)
|
100% |
27141
322.5 IPS |
|
|
Face Detection (HP)
|
100% |
54034
642.0 IPS |
|
|
Face Detection (Q)
|
100% |
63736
757.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
56363
434.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
124630
960.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
131073
1.02 KIPS |
|
|
Style Transfer (SP)
|
100% |
158136
203.3 IPS |
|
|
Style Transfer (HP)
|
100% |
472284
607.1 IPS |
|
|
Style Transfer (Q)
|
98% |
524691
676.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
27554
1.02 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
54093
2.00 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46233
1.71 KIPS |
|
|
Text Classification (SP)
|
100% |
3004
4.01 KIPS |
|
|
Text Classification (HP)
|
100% |
2838
3.79 KIPS |
|
|
Text Classification (Q)
|
92% |
1850
2.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
3707
63.9 IPS |
|
|
Machine Translation (HP)
|
98% |
4616
79.8 IPS |
|
|
Machine Translation (Q)
|
100% |
4610
79.4 IPS |