| User | danm1988 |
| Upload Date | September 16 2025 09:31 PM |
| Views | 12 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i9-14900KS |
| System Information | |
|---|---|
| Operating System | SUSE Linux Enterprise Desktop 15 SP7 |
| Model | Micro-Star International Co., Ltd. MS-7D85 |
| Motherboard | Micro-Star International Co., Ltd. MEG Z790 GODLIKE (MS-7D85) |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) i9-14900KS |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 6.40 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 251.06 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4127
767.6 IPS |
|
|
Image Classification (HP)
|
100% |
4209
782.8 IPS |
|
|
Image Classification (Q)
|
100% |
11586
2.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5828
94.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
5780
93.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
12898
209.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7934
9.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
7856
9.17 IPS |
|
|
Pose Estimation (Q)
|
96% |
37555
44.0 IPS |
|
|
Object Detection (SP)
|
100% |
4064
322.3 IPS |
|
|
Object Detection (HP)
|
100% |
4128
327.5 IPS |
|
|
Object Detection (Q)
|
88% |
12656
1.01 KIPS |
|
|
Face Detection (SP)
|
100% |
13630
162.0 IPS |
|
|
Face Detection (HP)
|
100% |
13788
163.8 IPS |
|
|
Face Detection (Q)
|
100% |
28985
344.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
10751
82.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
10633
81.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
34233
266.3 IPS |
|
|
Style Transfer (SP)
|
100% |
22397
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
22361
28.7 IPS |
|
|
Style Transfer (Q)
|
98% |
105529
136.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5229
193.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5372
198.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19942
738.5 IPS |
|
|
Text Classification (SP)
|
100% |
4105
5.48 KIPS |
|
|
Text Classification (HP)
|
100% |
3558
4.75 KIPS |
|
|
Text Classification (Q)
|
92% |
6818
9.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
6217
107.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6101
105.1 IPS |
|
|
Machine Translation (Q)
|
100% |
6131
105.6 IPS |