| User | danm1988 |
| Upload Date | May 14 2025 12:25 AM |
| Views | 9 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i9-14900KS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows Server 2025 Datacenter (64-bit) |
| Model | Supermicro Super Server |
| Motherboard | Supermicro X13SAE-F |
| Power Plan | High 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% |
3150
585.7 IPS |
|
|
Image Classification (HP)
|
100% |
3101
576.8 IPS |
|
|
Image Classification (Q)
|
100% |
10057
1.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4716
76.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4734
76.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
10591
171.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8510
9.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
8449
9.86 IPS |
|
|
Pose Estimation (Q)
|
96% |
31628
37.0 IPS |
|
|
Object Detection (SP)
|
100% |
2980
236.4 IPS |
|
|
Object Detection (HP)
|
100% |
3001
238.0 IPS |
|
|
Object Detection (Q)
|
88% |
10430
836.1 IPS |
|
|
Face Detection (SP)
|
100% |
10072
119.7 IPS |
|
|
Face Detection (HP)
|
100% |
10081
119.8 IPS |
|
|
Face Detection (Q)
|
100% |
24781
294.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8676
66.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
8577
66.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
27197
211.5 IPS |
|
|
Style Transfer (SP)
|
100% |
23724
30.5 IPS |
|
|
Style Transfer (HP)
|
100% |
24565
31.6 IPS |
|
|
Style Transfer (Q)
|
98% |
88834
114.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4464
164.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4459
164.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16651
616.6 IPS |
|
|
Text Classification (SP)
|
100% |
2871
3.83 KIPS |
|
|
Text Classification (HP)
|
100% |
2778
3.71 KIPS |
|
|
Text Classification (Q)
|
92% |
5520
7.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
2994
51.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2699
46.5 IPS |
|
|
Machine Translation (Q)
|
100% |
2867
49.4 IPS |