| User | ChrisSack |
| Upload Date | January 09 2026 04:49 PM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Xeon(R) CPU E5-4669 v4 @ 2.20GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Default string |
| Motherboard | Gigabyte Technology Co., Ltd. X99-UD5 WIFI-CF |
| Power Plan | Bitsum Highest Performance |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-4669 v4 |
| Topology | 1 Processor, 22 Cores, 44 Threads |
| Identifier | GenuineIntel Family 6 Model 79 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 22 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3756
698.5 IPS |
|
|
Image Classification (HP)
|
100% |
3693
686.9 IPS |
|
|
Image Classification (Q)
|
100% |
3594
668.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
5996
97.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
5836
94.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
6035
98.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8930
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
8869
10.3 IPS |
|
|
Pose Estimation (Q)
|
94% |
11756
13.8 IPS |
|
|
Object Detection (SP)
|
100% |
3899
309.2 IPS |
|
|
Object Detection (HP)
|
100% |
3985
316.1 IPS |
|
|
Object Detection (Q)
|
87% |
4174
334.7 IPS |
|
|
Face Detection (SP)
|
100% |
11694
138.9 IPS |
|
|
Face Detection (HP)
|
100% |
11830
140.6 IPS |
|
|
Face Detection (Q)
|
97% |
12714
151.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9496
73.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
9346
72.0 IPS |
|
|
Depth Estimation (Q)
|
81% |
11769
92.8 IPS |
|
|
Style Transfer (SP)
|
100% |
29323
37.7 IPS |
|
|
Style Transfer (HP)
|
100% |
29667
38.1 IPS |
|
|
Style Transfer (Q)
|
98% |
34251
44.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5796
214.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5644
208.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
6025
223.2 IPS |
|
|
Text Classification (SP)
|
100% |
1981
2.64 KIPS |
|
|
Text Classification (HP)
|
100% |
1972
2.63 KIPS |
|
|
Text Classification (Q)
|
91% |
129
173.2 IPS |
|
|
Machine Translation (SP)
|
100% |
2373
40.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2306
39.7 IPS |
|
|
Machine Translation (Q)
|
100% |
1970
33.9 IPS |