| Upload Date | November 12 2025 02:49 AM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Xeon(R) 6730P |
| System Information | |
|---|---|
| Operating System | Microsoft Windows Server 2022 Standard (64-bit) |
| Model | VMware, Inc. VMware20,1 |
| Motherboard | Intel Corporation 440BX Desktop Reference Platform |
| CPU Information | |
|---|---|
| Name | Intel(R) Xeon(R) 6730P |
| Topology | 1 Processor, 12 Cores |
| Identifier | GenuineIntel Family 6 Model 173 Stepping 1 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 20.00 GB |
| Type | DRAM |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4841
900.4 IPS |
|
|
Image Classification (HP)
|
100% |
8488
1.58 KIPS |
|
|
Image Classification (Q)
|
100% |
10464
1.95 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7366
119.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2811
45.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
13245
214.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
15207
17.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
82520
96.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
152596
178.7 IPS |
|
|
Object Detection (SP)
|
100% |
5184
411.2 IPS |
|
|
Object Detection (HP)
|
100% |
8834
700.7 IPS |
|
|
Object Detection (Q)
|
88% |
10936
876.6 IPS |
|
|
Face Detection (SP)
|
100% |
17583
208.9 IPS |
|
|
Face Detection (HP)
|
100% |
20226
240.3 IPS |
|
|
Face Detection (Q)
|
100% |
29790
354.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
16083
123.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
33998
261.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
38920
302.9 IPS |
|
|
Style Transfer (SP)
|
100% |
42176
54.2 IPS |
|
|
Style Transfer (HP)
|
100% |
178162
229.0 IPS |
|
|
Style Transfer (Q)
|
98% |
314944
406.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8006
295.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21188
782.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23326
863.9 IPS |
|
|
Text Classification (SP)
|
100% |
2829
3.78 KIPS |
|
|
Text Classification (HP)
|
100% |
3065
4.09 KIPS |
|
|
Text Classification (Q)
|
92% |
2893
3.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
4533
78.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4870
83.9 IPS |
|
|
Machine Translation (Q)
|
100% |
4829
83.2 IPS |