| User | KD8UXA |
| Upload Date | February 26 2025 10:11 PM |
| Views | 21 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Xeon(R) CPU W3690 @ 3.47GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Parallels Software International Inc. Parallels Virtual Platform |
| Motherboard | Parallels Software International Inc. Parallels Virtual Platform |
| Power Plan | Parallels |
| CPU Information | |
|---|---|
| Name | Intel Xeon W3690 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 44 Stepping 2 |
| Base Frequency | 3.46 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Type | DRAM |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
289
53.7 IPS |
|
|
Image Classification (HP)
|
100% |
291
54.2 IPS |
|
|
Image Classification (Q)
|
100% |
488
90.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
348
5.64 IPS |
|
|
Image Segmentation (HP)
|
100% |
347
5.62 IPS |
|
|
Image Segmentation (Q)
|
99% |
665
10.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
545
0.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
597
0.70 IPS |
|
|
Pose Estimation (Q)
|
94% |
909
1.07 IPS |
|
|
Object Detection (SP)
|
100% |
281
22.3 IPS |
|
|
Object Detection (HP)
|
100% |
307
24.3 IPS |
|
|
Object Detection (Q)
|
87% |
652
52.3 IPS |
|
|
Face Detection (SP)
|
100% |
947
11.2 IPS |
|
|
Face Detection (HP)
|
100% |
908
10.8 IPS |
|
|
Face Detection (Q)
|
97% |
1820
21.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
710
5.47 IPS |
|
|
Depth Estimation (HP)
|
99% |
743
5.73 IPS |
|
|
Depth Estimation (Q)
|
81% |
1620
12.8 IPS |
|
|
Style Transfer (SP)
|
100% |
1389
1.79 IPS |
|
|
Style Transfer (HP)
|
100% |
1327
1.71 IPS |
|
|
Style Transfer (Q)
|
98% |
4416
5.69 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
350
12.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
363
13.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
885
32.8 IPS |
|
|
Text Classification (SP)
|
100% |
337
450.2 IPS |
|
|
Text Classification (HP)
|
100% |
349
466.2 IPS |
|
|
Text Classification (Q)
|
91% |
367
493.3 IPS |
|
|
Machine Translation (SP)
|
100% |
408
7.03 IPS |
|
|
Machine Translation (HP)
|
100% |
403
6.95 IPS |
|
|
Machine Translation (Q)
|
100% |
426
7.34 IPS |