| 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% |
4628
860.7 IPS |
|
|
Image Classification (HP)
|
100% |
9105
1.69 KIPS |
|
|
Image Classification (Q)
|
100% |
10484
1.95 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4548
73.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3210
52.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
13301
215.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
15389
18.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
83339
97.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
151393
177.3 IPS |
|
|
Object Detection (SP)
|
100% |
5124
406.4 IPS |
|
|
Object Detection (HP)
|
100% |
8624
684.1 IPS |
|
|
Object Detection (Q)
|
88% |
10911
874.7 IPS |
|
|
Face Detection (SP)
|
100% |
17420
207.0 IPS |
|
|
Face Detection (HP)
|
100% |
20371
242.1 IPS |
|
|
Face Detection (Q)
|
100% |
30229
359.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
15895
122.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
33780
260.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
38931
303.0 IPS |
|
|
Style Transfer (SP)
|
100% |
42077
54.1 IPS |
|
|
Style Transfer (HP)
|
100% |
181073
232.8 IPS |
|
|
Style Transfer (Q)
|
98% |
312959
403.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7819
288.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20746
766.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23101
855.5 IPS |
|
|
Text Classification (SP)
|
100% |
2793
3.73 KIPS |
|
|
Text Classification (HP)
|
100% |
3016
4.03 KIPS |
|
|
Text Classification (Q)
|
92% |
2824
3.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
4211
72.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4800
82.7 IPS |
|
|
Machine Translation (Q)
|
100% |
4791
82.5 IPS |