| User | hshamilt |
| Upload Date | April 01 2025 03:55 AM |
| Views | 11 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | LENOVO 30BDS0M202 |
| Motherboard | LENOVO 1038 |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Xeon Platinum 8168 |
| Topology | 2 Processors, 48 Cores, 96 Threads |
| Identifier | GenuineIntel Family 6 Model 85 Stepping 4 |
| Base Frequency | 2.69 GHz |
| Cluster 1 | 24 Cores |
| Memory Information | |
|---|---|
| Size | 512.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5408
1.01 KIPS |
|
|
Image Classification (HP)
|
99% |
7160
1.34 KIPS |
|
|
Image Classification (Q)
|
100% |
3908
726.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
6463
104.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
7636
123.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
5368
87.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
105812
123.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
208354
243.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
83556
97.9 IPS |
|
|
Object Detection (SP)
|
100% |
6592
522.9 IPS |
|
|
Object Detection (HP)
|
100% |
7771
616.4 IPS |
|
|
Object Detection (Q)
|
85% |
4945
397.8 IPS |
|
|
Face Detection (SP)
|
100% |
14541
172.8 IPS |
|
|
Face Detection (HP)
|
100% |
17478
207.7 IPS |
|
|
Face Detection (Q)
|
97% |
11615
138.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
42480
327.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
68486
527.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
28299
226.6 IPS |
|
|
Style Transfer (SP)
|
100% |
176588
227.0 IPS |
|
|
Style Transfer (HP)
|
100% |
350673
450.8 IPS |
|
|
Style Transfer (Q)
|
98% |
146499
188.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
24623
909.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30219
1.12 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
15010
555.8 IPS |
|
|
Text Classification (SP)
|
100% |
1639
2.19 KIPS |
|
|
Text Classification (HP)
|
99% |
1870
2.50 KIPS |
|
|
Text Classification (Q)
|
97% |
938
1.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
1636
28.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1547
26.7 IPS |
|
|
Machine Translation (Q)
|
70% |
893
16.7 IPS |