| Upload Date | October 02 2024 06:48 AM |
| Views | 20 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Xeon(R) w5-2455X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | HP HP Z4 G5 Workstation Desktop PC |
| Motherboard | HP 8962 |
| CPU Information | |
|---|---|
| Name | Intel Xeon w5-2455X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 143 Stepping 8 |
| Base Frequency | 3.19 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4395
817.3 IPS |
|
|
Image Classification (HP)
|
100% |
1634
303.8 IPS |
|
|
Image Classification (Q)
|
100% |
5524
1.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4249
68.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
152
2.46 IPS |
|
|
Image Segmentation (Q)
|
99% |
7516
121.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11885
13.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
9785
11.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
169686
198.7 IPS |
|
|
Object Detection (SP)
|
100% |
5553
440.5 IPS |
|
|
Object Detection (HP)
|
100% |
2563
203.3 IPS |
|
|
Object Detection (Q)
|
88% |
12414
995.1 IPS |
|
|
Face Detection (SP)
|
100% |
15927
189.3 IPS |
|
|
Face Detection (HP)
|
100% |
5867
69.7 IPS |
|
|
Face Detection (Q)
|
100% |
31960
379.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
14713
113.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
6308
48.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
47670
371.1 IPS |
|
|
Style Transfer (SP)
|
100% |
38011
48.9 IPS |
|
|
Style Transfer (HP)
|
100% |
23505
30.2 IPS |
|
|
Style Transfer (Q)
|
98% |
398645
514.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7445
274.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5443
201.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28889
1.07 KIPS |
|
|
Text Classification (SP)
|
100% |
3407
4.55 KIPS |
|
|
Text Classification (HP)
|
100% |
1996
2.66 KIPS |
|
|
Text Classification (Q)
|
92% |
4307
5.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
4370
75.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4038
69.6 IPS |
|
|
Machine Translation (Q)
|
100% |
5059
87.1 IPS |