| Upload Date | November 21 2025 12:11 PM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Xeon(R) CPU E5-2680 v4 @ 2.40GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro for Workstations (64-bit) |
| Model | Hewlett-Packard HP Z840 Workstation |
| Motherboard | Hewlett-Packard 2129 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2680 v4 |
| Topology | 1 Processor, 14 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 79 Stepping 1 |
| Base Frequency | 2.39 GHz |
| Cluster 1 | 14 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3183
592.0 IPS |
|
|
Image Classification (HP)
|
100% |
3161
587.9 IPS |
|
|
Image Classification (Q)
|
100% |
2981
554.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
4177
67.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4172
67.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4372
71.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6649
7.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
6644
7.75 IPS |
|
|
Pose Estimation (Q)
|
94% |
8258
9.69 IPS |
|
|
Object Detection (SP)
|
100% |
2814
223.2 IPS |
|
|
Object Detection (HP)
|
100% |
2832
224.6 IPS |
|
|
Object Detection (Q)
|
87% |
3086
247.5 IPS |
|
|
Face Detection (SP)
|
100% |
7917
94.1 IPS |
|
|
Face Detection (HP)
|
100% |
7732
91.9 IPS |
|
|
Face Detection (Q)
|
97% |
9634
114.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7795
60.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
7759
59.8 IPS |
|
|
Depth Estimation (Q)
|
81% |
8648
68.2 IPS |
|
|
Style Transfer (SP)
|
100% |
20737
26.7 IPS |
|
|
Style Transfer (HP)
|
100% |
20567
26.4 IPS |
|
|
Style Transfer (Q)
|
98% |
23790
30.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4203
155.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4145
153.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4562
169.0 IPS |
|
|
Text Classification (SP)
|
100% |
2048
2.73 KIPS |
|
|
Text Classification (HP)
|
100% |
2011
2.68 KIPS |
|
|
Text Classification (Q)
|
91% |
267
358.7 IPS |
|
|
Machine Translation (SP)
|
100% |
2822
48.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2712
46.7 IPS |
|
|
Machine Translation (Q)
|
100% |
2678
46.1 IPS |