| User | JoaoSchlemm |
| Upload Date | May 30 2025 12:21 PM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX A4000 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | HP HP Z8 G5 Workstation Desktop PC |
| Motherboard | HP 88C0 |
| Power Plan | HP Optimized (recomendado) |
| CPU Information | |
|---|---|
| Name | Intel Xeon Silver 4410Y |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 143 Stepping 8 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4427
823.2 IPS |
|
|
Image Classification (HP)
|
99% |
7147
1.33 KIPS |
|
|
Image Classification (Q)
|
100% |
3804
707.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
9790
158.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
13187
213.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
7985
129.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
85843
100.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
228688
266.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
72248
84.6 IPS |
|
|
Object Detection (SP)
|
100% |
6232
494.3 IPS |
|
|
Object Detection (HP)
|
100% |
8928
708.2 IPS |
|
|
Object Detection (Q)
|
85% |
5068
408.0 IPS |
|
|
Face Detection (SP)
|
100% |
19023
226.0 IPS |
|
|
Face Detection (HP)
|
100% |
31922
379.3 IPS |
|
|
Face Detection (Q)
|
97% |
13884
165.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
41001
315.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
68794
530.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
25859
207.1 IPS |
|
|
Style Transfer (SP)
|
100% |
140210
180.2 IPS |
|
|
Style Transfer (HP)
|
100% |
338270
434.9 IPS |
|
|
Style Transfer (Q)
|
98% |
110685
142.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
21841
806.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26339
972.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13265
491.2 IPS |
|
|
Text Classification (SP)
|
100% |
2600
3.47 KIPS |
|
|
Text Classification (HP)
|
99% |
3269
4.36 KIPS |
|
|
Text Classification (Q)
|
97% |
1148
1.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
2787
48.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3560
61.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1230
23.1 IPS |