| User | JoaoSchlemm |
| Upload Date | March 18 2025 05:19 PM |
| Views | 13 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX 4000 Ada Generation |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | Dell Inc. Precision 5860 Tower |
| Motherboard | Dell Inc. 02D1W5 |
| Power Plan | Equilibrado |
| 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 | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7453
1.39 KIPS |
|
|
Image Classification (HP)
|
99% |
10545
1.97 KIPS |
|
|
Image Classification (Q)
|
100% |
6728
1.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13029
211.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
16391
265.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
12094
196.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
117981
137.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
287345
335.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
103834
121.7 IPS |
|
|
Object Detection (SP)
|
100% |
9400
745.6 IPS |
|
|
Object Detection (HP)
|
100% |
14032
1.11 KIPS |
|
|
Object Detection (Q)
|
85% |
8057
648.6 IPS |
|
|
Face Detection (SP)
|
100% |
24857
295.4 IPS |
|
|
Face Detection (HP)
|
100% |
34590
411.0 IPS |
|
|
Face Detection (Q)
|
97% |
21979
262.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
50278
387.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
81937
631.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
38768
309.6 IPS |
|
|
Style Transfer (SP)
|
100% |
184845
237.6 IPS |
|
|
Style Transfer (HP)
|
100% |
437432
562.3 IPS |
|
|
Style Transfer (Q)
|
98% |
175739
226.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
33674
1.24 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
42960
1.59 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
24489
906.8 IPS |
|
|
Text Classification (SP)
|
100% |
2524
3.37 KIPS |
|
|
Text Classification (HP)
|
99% |
3214
4.29 KIPS |
|
|
Text Classification (Q)
|
97% |
1683
2.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
3282
56.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3293
56.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1895
35.5 IPS |