| User | tplummer |
| Upload Date | September 17 2025 06:13 AM |
| Views | 12 |
| 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% |
8152
1.52 KIPS |
|
|
Image Classification (HP)
|
99% |
11348
2.12 KIPS |
|
|
Image Classification (Q)
|
100% |
7653
1.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15930
258.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
19179
310.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
14719
239.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
176955
206.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
402278
469.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
158845
186.1 IPS |
|
|
Object Detection (SP)
|
100% |
10399
824.9 IPS |
|
|
Object Detection (HP)
|
100% |
13346
1.06 KIPS |
|
|
Object Detection (Q)
|
85% |
9092
731.3 IPS |
|
|
Face Detection (SP)
|
100% |
28645
340.4 IPS |
|
|
Face Detection (HP)
|
100% |
36085
428.8 IPS |
|
|
Face Detection (Q)
|
97% |
26039
310.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
63957
492.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
101930
787.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
51375
410.7 IPS |
|
|
Style Transfer (SP)
|
100% |
290078
372.9 IPS |
|
|
Style Transfer (HP)
|
100% |
617179
793.4 IPS |
|
|
Style Transfer (Q)
|
98% |
258818
333.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
36058
1.33 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
42120
1.56 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28594
1.06 KIPS |
|
|
Text Classification (SP)
|
100% |
2648
3.53 KIPS |
|
|
Text Classification (HP)
|
99% |
3048
4.07 KIPS |
|
|
Text Classification (Q)
|
97% |
1576
2.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
3827
65.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3822
65.8 IPS |
|
|
Machine Translation (Q)
|
70% |
2190
41.1 IPS |