| Upload Date | November 12 2025 02:37 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% |
4884
908.3 IPS |
|
|
Image Classification (HP)
|
100% |
9228
1.72 KIPS |
|
|
Image Classification (Q)
|
100% |
10679
1.99 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7603
123.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3250
52.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
19781
320.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
15541
18.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
83689
97.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
84979
99.5 IPS |
|
|
Object Detection (SP)
|
100% |
5101
404.6 IPS |
|
|
Object Detection (HP)
|
100% |
8573
680.0 IPS |
|
|
Object Detection (Q)
|
88% |
10744
861.2 IPS |
|
|
Face Detection (SP)
|
100% |
17283
205.4 IPS |
|
|
Face Detection (HP)
|
100% |
20507
243.7 IPS |
|
|
Face Detection (Q)
|
100% |
30053
357.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
15922
122.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
33939
261.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
38092
296.4 IPS |
|
|
Style Transfer (SP)
|
100% |
42942
55.2 IPS |
|
|
Style Transfer (HP)
|
100% |
179015
230.1 IPS |
|
|
Style Transfer (Q)
|
98% |
318100
410.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7961
294.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21535
795.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23417
867.2 IPS |
|
|
Text Classification (SP)
|
100% |
2854
3.81 KIPS |
|
|
Text Classification (HP)
|
100% |
3046
4.07 KIPS |
|
|
Text Classification (Q)
|
92% |
2866
3.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
4589
79.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4945
85.2 IPS |
|
|
Machine Translation (Q)
|
100% |
4785
82.4 IPS |