| Upload Date | October 22 2025 04:23 AM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i9-13900K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E06 |
| Motherboard | Micro-Star International Co., Ltd. Z790 GAMING PLUS WIFI (MS-7E06) |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900K |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4055
754.1 IPS |
|
|
Image Classification (HP)
|
100% |
4006
745.0 IPS |
|
|
Image Classification (Q)
|
100% |
6501
1.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5500
89.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
5474
88.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4163
67.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10595
12.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
10542
12.3 IPS |
|
|
Pose Estimation (Q)
|
94% |
17170
20.1 IPS |
|
|
Object Detection (SP)
|
100% |
3418
271.1 IPS |
|
|
Object Detection (HP)
|
100% |
3411
270.6 IPS |
|
|
Object Detection (Q)
|
87% |
6894
552.9 IPS |
|
|
Face Detection (SP)
|
100% |
11590
137.7 IPS |
|
|
Face Detection (HP)
|
100% |
11505
136.7 IPS |
|
|
Face Detection (Q)
|
97% |
19871
236.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
10229
78.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
10150
78.2 IPS |
|
|
Depth Estimation (Q)
|
81% |
19224
151.6 IPS |
|
|
Style Transfer (SP)
|
100% |
30371
39.0 IPS |
|
|
Style Transfer (HP)
|
100% |
30298
38.9 IPS |
|
|
Style Transfer (Q)
|
98% |
50918
65.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5429
200.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5382
198.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
9915
367.3 IPS |
|
|
Text Classification (SP)
|
100% |
3305
4.41 KIPS |
|
|
Text Classification (HP)
|
100% |
3274
4.37 KIPS |
|
|
Text Classification (Q)
|
91% |
1174
1.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
3009
51.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2654
45.7 IPS |
|
|
Machine Translation (Q)
|
100% |
2788
48.0 IPS |