| Upload Date | October 30 2025 02:09 AM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Xeon(R) 6515P |
| System Information | |
|---|---|
| Operating System | Microsoft Windows Server 2022 Standard (64-bit) |
| Model | Microsoft Corporation Virtual Machine |
| Motherboard | Microsoft Corporation Virtual Machine |
| CPU Information | |
|---|---|
| Name | Intel(R) Xeon(R) 6515P |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 173 Stepping 1 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 20.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2647
492.3 IPS |
|
|
Image Classification (HP)
|
100% |
2147
399.2 IPS |
|
|
Image Classification (Q)
|
100% |
7721
1.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3759
60.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1432
23.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
11396
184.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7610
8.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
4820
5.62 IPS |
|
|
Pose Estimation (Q)
|
97% |
104344
122.2 IPS |
|
|
Object Detection (SP)
|
100% |
2965
235.2 IPS |
|
|
Object Detection (HP)
|
100% |
2218
175.9 IPS |
|
|
Object Detection (Q)
|
88% |
8071
647.0 IPS |
|
|
Face Detection (SP)
|
100% |
10207
121.3 IPS |
|
|
Face Detection (HP)
|
100% |
5784
68.7 IPS |
|
|
Face Detection (Q)
|
100% |
21065
250.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8659
66.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
5767
44.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
23207
180.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21668
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
11939
15.3 IPS |
|
|
Style Transfer (Q)
|
98% |
209149
269.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4181
154.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2631
97.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17242
638.5 IPS |
|
|
Text Classification (SP)
|
100% |
2061
2.75 KIPS |
|
|
Text Classification (HP)
|
100% |
1273
1.70 KIPS |
|
|
Text Classification (Q)
|
92% |
2617
3.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
2683
46.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2544
43.8 IPS |
|
|
Machine Translation (Q)
|
100% |
3686
63.5 IPS |