| User | tplummer |
| Upload Date | September 17 2025 05:55 AM |
| Views | 7 |
| 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% |
7612
1.42 KIPS |
|
|
Image Classification (HP)
|
99% |
11161
2.08 KIPS |
|
|
Image Classification (Q)
|
100% |
7545
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15899
257.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
19175
310.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
14540
236.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
177058
206.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
403897
471.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
159080
186.4 IPS |
|
|
Object Detection (SP)
|
100% |
10496
832.6 IPS |
|
|
Object Detection (HP)
|
100% |
13583
1.08 KIPS |
|
|
Object Detection (Q)
|
85% |
9196
739.7 IPS |
|
|
Face Detection (SP)
|
100% |
29328
348.5 IPS |
|
|
Face Detection (HP)
|
100% |
35937
427.0 IPS |
|
|
Face Detection (Q)
|
97% |
25734
306.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
63976
492.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
104813
809.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
51852
414.6 IPS |
|
|
Style Transfer (SP)
|
100% |
288135
370.4 IPS |
|
|
Style Transfer (HP)
|
100% |
617733
794.1 IPS |
|
|
Style Transfer (Q)
|
98% |
261140
336.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
37314
1.38 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
42781
1.58 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28200
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
2680
3.58 KIPS |
|
|
Text Classification (HP)
|
99% |
3079
4.11 KIPS |
|
|
Text Classification (Q)
|
97% |
1641
2.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
3822
65.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3782
65.1 IPS |
|
|
Machine Translation (Q)
|
70% |
2192
41.1 IPS |