| Upload Date | November 12 2025 03:44 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% |
4966
923.5 IPS |
|
|
Image Classification (HP)
|
100% |
9345
1.74 KIPS |
|
|
Image Classification (Q)
|
100% |
10178
1.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4532
73.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1735
28.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
20111
326.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9035
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
67230
78.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
128386
150.3 IPS |
|
|
Object Detection (SP)
|
100% |
5142
407.8 IPS |
|
|
Object Detection (HP)
|
100% |
8531
676.7 IPS |
|
|
Object Detection (Q)
|
88% |
10876
871.8 IPS |
|
|
Face Detection (SP)
|
100% |
17256
205.0 IPS |
|
|
Face Detection (HP)
|
100% |
20269
240.8 IPS |
|
|
Face Detection (Q)
|
100% |
30114
357.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
15949
122.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
33538
258.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
39229
305.3 IPS |
|
|
Style Transfer (SP)
|
100% |
42967
55.2 IPS |
|
|
Style Transfer (HP)
|
100% |
179397
230.6 IPS |
|
|
Style Transfer (Q)
|
98% |
316368
408.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7949
293.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21208
783.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23062
854.1 IPS |
|
|
Text Classification (SP)
|
100% |
2810
3.75 KIPS |
|
|
Text Classification (HP)
|
100% |
2838
3.79 KIPS |
|
|
Text Classification (Q)
|
92% |
2730
3.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
4169
71.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4559
78.5 IPS |
|
|
Machine Translation (Q)
|
100% |
4660
80.3 IPS |