| User | hshamilt |
| Upload Date | April 01 2025 03:52 AM |
| Views | 15 |
| 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% |
4011
745.9 IPS |
|
|
Image Classification (HP)
|
99% |
6499
1.21 KIPS |
|
|
Image Classification (Q)
|
100% |
3649
678.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
6333
102.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
7312
118.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
4890
79.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
103876
121.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
208068
242.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
84515
99.0 IPS |
|
|
Object Detection (SP)
|
100% |
6066
481.2 IPS |
|
|
Object Detection (HP)
|
100% |
7829
621.0 IPS |
|
|
Object Detection (Q)
|
85% |
4461
358.9 IPS |
|
|
Face Detection (SP)
|
100% |
14940
177.5 IPS |
|
|
Face Detection (HP)
|
100% |
18923
224.8 IPS |
|
|
Face Detection (Q)
|
97% |
10805
128.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
41372
318.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
58043
447.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
27414
219.5 IPS |
|
|
Style Transfer (SP)
|
100% |
190666
245.1 IPS |
|
|
Style Transfer (HP)
|
100% |
351286
451.6 IPS |
|
|
Style Transfer (Q)
|
98% |
145234
187.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
20847
769.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30005
1.11 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
14012
518.9 IPS |
|
|
Text Classification (SP)
|
100% |
1659
2.21 KIPS |
|
|
Text Classification (HP)
|
99% |
2199
2.94 KIPS |
|
|
Text Classification (Q)
|
97% |
953
1.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
1658
28.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1598
27.5 IPS |
|
|
Machine Translation (Q)
|
70% |
822
15.4 IPS |