| Upload Date | November 12 2025 02:48 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% |
4892
909.7 IPS |
|
|
Image Classification (HP)
|
100% |
9277
1.73 KIPS |
|
|
Image Classification (Q)
|
100% |
10897
2.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7632
123.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3278
53.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
19848
321.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
14764
17.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
63744
74.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
74304
87.0 IPS |
|
|
Object Detection (SP)
|
100% |
3895
308.9 IPS |
|
|
Object Detection (HP)
|
100% |
8191
649.7 IPS |
|
|
Object Detection (Q)
|
88% |
10405
834.1 IPS |
|
|
Face Detection (SP)
|
100% |
17378
206.5 IPS |
|
|
Face Detection (HP)
|
100% |
19917
236.7 IPS |
|
|
Face Detection (Q)
|
100% |
28594
339.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
13632
105.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
33447
257.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
36273
282.3 IPS |
|
|
Style Transfer (SP)
|
100% |
42674
54.9 IPS |
|
|
Style Transfer (HP)
|
100% |
180508
232.0 IPS |
|
|
Style Transfer (Q)
|
98% |
319564
412.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5540
204.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21266
785.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22429
830.6 IPS |
|
|
Text Classification (SP)
|
100% |
2811
3.75 KIPS |
|
|
Text Classification (HP)
|
100% |
2879
3.84 KIPS |
|
|
Text Classification (Q)
|
92% |
2726
3.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
4375
75.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4717
81.3 IPS |
|
|
Machine Translation (Q)
|
100% |
4586
79.0 IPS |