| User | asymptotepmo |
| Upload Date | September 16 2025 09:45 AM |
| Views | 18 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon 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% |
5378
1.00 KIPS |
|
|
Image Classification (HP)
|
100% |
590
109.8 IPS |
|
|
Image Classification (Q)
|
99% |
8324
1.55 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1741
28.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
902
14.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
13124
213.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
17783
20.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
12126
14.1 IPS |
|
|
Pose Estimation (Q)
|
94% |
52880
62.0 IPS |
|
|
Object Detection (SP)
|
100% |
5326
422.4 IPS |
|
|
Object Detection (HP)
|
100% |
791
62.7 IPS |
|
|
Object Detection (Q)
|
86% |
9367
752.8 IPS |
|
|
Face Detection (SP)
|
100% |
13563
161.2 IPS |
|
|
Face Detection (HP)
|
100% |
1650
19.6 IPS |
|
|
Face Detection (Q)
|
97% |
10373
123.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
15638
120.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2523
19.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
21429
171.0 IPS |
|
|
Style Transfer (SP)
|
100% |
33474
43.0 IPS |
|
|
Style Transfer (HP)
|
100% |
24101
31.0 IPS |
|
|
Style Transfer (Q)
|
98% |
27841
35.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4557
168.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3420
126.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6865
254.2 IPS |
|
|
Text Classification (SP)
|
100% |
1593
2.13 KIPS |
|
|
Text Classification (HP)
|
100% |
775
1.03 KIPS |
|
|
Text Classification (Q)
|
97% |
1175
1.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
2425
41.8 IPS |
|
|
Machine Translation (HP)
|
100% |
870
15.0 IPS |
|
|
Machine Translation (Q)
|
65% |
2446
49.2 IPS |