| User | danm1988 |
| Upload Date | April 24 2025 11:51 AM |
| Views | 12 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Xeon(R) Silver 4314 CPU @ 2.40GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro for Workstations (64-bit) |
| Model | Supermicro Super Server |
| Motherboard | Supermicro X12SPM-LN4F |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Xeon Silver 4314 |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 106 Stepping 6 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 704.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4443
826.3 IPS |
|
|
Image Classification (HP)
|
100% |
4480
833.1 IPS |
|
|
Image Classification (Q)
|
100% |
10356
1.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6318
102.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
6396
103.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
12618
204.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10738
12.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
11216
13.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
46772
54.8 IPS |
|
|
Object Detection (SP)
|
100% |
4329
343.4 IPS |
|
|
Object Detection (HP)
|
100% |
4381
347.5 IPS |
|
|
Object Detection (Q)
|
88% |
11007
882.3 IPS |
|
|
Face Detection (SP)
|
100% |
11994
142.5 IPS |
|
|
Face Detection (HP)
|
100% |
11936
141.8 IPS |
|
|
Face Detection (Q)
|
100% |
26387
313.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
11940
92.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
12024
92.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
30718
238.9 IPS |
|
|
Style Transfer (SP)
|
100% |
29285
37.6 IPS |
|
|
Style Transfer (HP)
|
100% |
30229
38.9 IPS |
|
|
Style Transfer (Q)
|
98% |
105091
135.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6196
228.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6354
234.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16789
621.8 IPS |
|
|
Text Classification (SP)
|
100% |
3057
4.08 KIPS |
|
|
Text Classification (HP)
|
100% |
3043
4.06 KIPS |
|
|
Text Classification (Q)
|
92% |
3162
4.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
4658
80.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4636
79.9 IPS |
|
|
Machine Translation (Q)
|
100% |
4603
79.3 IPS |