| User | danm1988 |
| Upload Date | May 19 2025 07:00 PM |
| Views | 9 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i9-14900KS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | Supermicro Super Server |
| Motherboard | Supermicro X13SAE-F |
| Power Plan | Ultimate Performance |
| 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 | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 192.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3344
621.8 IPS |
|
|
Image Classification (HP)
|
100% |
3306
614.9 IPS |
|
|
Image Classification (Q)
|
100% |
9833
1.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4242
68.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4334
70.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
10629
172.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8026
9.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
8586
10.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
32432
38.0 IPS |
|
|
Object Detection (SP)
|
100% |
2830
224.5 IPS |
|
|
Object Detection (HP)
|
100% |
2929
232.3 IPS |
|
|
Object Detection (Q)
|
88% |
10627
851.9 IPS |
|
|
Face Detection (SP)
|
100% |
9830
116.8 IPS |
|
|
Face Detection (HP)
|
100% |
9880
117.4 IPS |
|
|
Face Detection (Q)
|
100% |
24885
295.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8838
68.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
8774
67.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
26727
207.9 IPS |
|
|
Style Transfer (SP)
|
100% |
23885
30.7 IPS |
|
|
Style Transfer (HP)
|
100% |
24031
30.9 IPS |
|
|
Style Transfer (Q)
|
98% |
48521
62.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4157
153.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4062
150.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16656
616.8 IPS |
|
|
Text Classification (SP)
|
100% |
2757
3.68 KIPS |
|
|
Text Classification (HP)
|
100% |
2834
3.78 KIPS |
|
|
Text Classification (Q)
|
92% |
5487
7.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
2878
49.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2771
47.7 IPS |
|
|
Machine Translation (Q)
|
100% |
2645
45.6 IPS |