| User | tplummer |
| Upload Date | September 17 2025 06:11 AM |
| Views | 15 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Hewlett-Packard HP Z440 Workstation |
| Motherboard | Hewlett-Packard 212B |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2699 v4 |
| Topology | 1 Processor, 22 Cores, 44 Threads |
| Identifier | GenuineIntel Family 6 Model 79 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 22 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7655
1.42 KIPS |
|
|
Image Classification (HP)
|
99% |
11425
2.13 KIPS |
|
|
Image Classification (Q)
|
100% |
7619
1.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15945
258.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
18994
307.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
14677
238.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
175079
204.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
397625
464.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
158903
186.2 IPS |
|
|
Object Detection (SP)
|
100% |
10427
827.0 IPS |
|
|
Object Detection (HP)
|
100% |
13571
1.08 KIPS |
|
|
Object Detection (Q)
|
85% |
9183
738.7 IPS |
|
|
Face Detection (SP)
|
100% |
29587
351.6 IPS |
|
|
Face Detection (HP)
|
100% |
36018
428.0 IPS |
|
|
Face Detection (Q)
|
97% |
25976
309.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
65556
505.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
102537
792.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
51719
413.5 IPS |
|
|
Style Transfer (SP)
|
100% |
296038
380.6 IPS |
|
|
Style Transfer (HP)
|
100% |
610792
785.2 IPS |
|
|
Style Transfer (Q)
|
98% |
259266
334.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
37752
1.39 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
42286
1.56 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29098
1.08 KIPS |
|
|
Text Classification (SP)
|
100% |
2691
3.59 KIPS |
|
|
Text Classification (HP)
|
99% |
3098
4.13 KIPS |
|
|
Text Classification (Q)
|
97% |
1596
2.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
3841
66.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3821
65.8 IPS |
|
|
Machine Translation (Q)
|
70% |
2189
41.1 IPS |