| Upload Date | November 12 2025 02:43 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% |
3125
581.2 IPS |
|
|
Image Classification (HP)
|
100% |
6605
1.23 KIPS |
|
|
Image Classification (Q)
|
100% |
8410
1.56 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4324
70.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2107
34.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
10870
176.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8253
9.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
59089
68.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
98808
115.7 IPS |
|
|
Object Detection (SP)
|
100% |
3143
249.3 IPS |
|
|
Object Detection (HP)
|
100% |
5928
470.2 IPS |
|
|
Object Detection (Q)
|
88% |
8461
678.3 IPS |
|
|
Face Detection (SP)
|
100% |
10373
123.3 IPS |
|
|
Face Detection (HP)
|
100% |
14506
172.4 IPS |
|
|
Face Detection (Q)
|
100% |
19035
226.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8734
67.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
22471
173.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
37394
291.0 IPS |
|
|
Style Transfer (SP)
|
100% |
39131
50.3 IPS |
|
|
Style Transfer (HP)
|
100% |
173051
222.5 IPS |
|
|
Style Transfer (Q)
|
98% |
304103
392.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7593
280.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20069
741.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21958
813.2 IPS |
|
|
Text Classification (SP)
|
100% |
2622
3.50 KIPS |
|
|
Text Classification (HP)
|
100% |
2959
3.95 KIPS |
|
|
Text Classification (Q)
|
92% |
2722
3.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
4088
70.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4595
79.1 IPS |
|
|
Machine Translation (Q)
|
100% |
4691
80.8 IPS |