| User | asymptotepmo |
| Upload Date | September 16 2025 09:47 AM |
| Views | 16 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Xeon(R) w5-2465X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | HP HP Z4 G5 Workstation Desktop PC |
| Motherboard | HP 8962 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Xeon w5-2465X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 143 Stepping 8 |
| Base Frequency | 3.10 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5757
1.07 KIPS |
|
|
Image Classification (HP)
|
100% |
5312
987.9 IPS |
|
|
Image Classification (Q)
|
100% |
12523
2.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8952
145.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3058
49.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
21573
349.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
17725
20.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
11067
12.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
185619
217.4 IPS |
|
|
Object Detection (SP)
|
100% |
5886
466.9 IPS |
|
|
Object Detection (HP)
|
100% |
5106
405.0 IPS |
|
|
Object Detection (Q)
|
88% |
11771
943.6 IPS |
|
|
Face Detection (SP)
|
100% |
17964
213.5 IPS |
|
|
Face Detection (HP)
|
100% |
14017
166.6 IPS |
|
|
Face Detection (Q)
|
100% |
36341
431.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
16939
130.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
13607
104.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
47528
369.9 IPS |
|
|
Style Transfer (SP)
|
100% |
43350
55.7 IPS |
|
|
Style Transfer (HP)
|
100% |
30606
39.3 IPS |
|
|
Style Transfer (Q)
|
98% |
230103
296.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9446
348.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6369
235.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
30389
1.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3678
4.91 KIPS |
|
|
Text Classification (HP)
|
100% |
1919
2.56 KIPS |
|
|
Text Classification (Q)
|
92% |
3779
5.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
5556
95.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5001
86.1 IPS |
|
|
Machine Translation (Q)
|
100% |
5845
100.7 IPS |