| User | tplummer |
| Upload Date | September 15 2025 07:07 AM |
| Views | 8 |
| 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% |
8576
1.59 KIPS |
|
|
Image Classification (HP)
|
99% |
11037
2.06 KIPS |
|
|
Image Classification (Q)
|
100% |
7565
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16105
261.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
19307
313.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
14659
238.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
177273
206.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
405798
473.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
160472
188.0 IPS |
|
|
Object Detection (SP)
|
100% |
10345
820.5 IPS |
|
|
Object Detection (HP)
|
100% |
13463
1.07 KIPS |
|
|
Object Detection (Q)
|
85% |
9137
735.0 IPS |
|
|
Face Detection (SP)
|
100% |
29570
351.4 IPS |
|
|
Face Detection (HP)
|
100% |
35580
422.8 IPS |
|
|
Face Detection (Q)
|
97% |
25964
309.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
64992
500.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
104049
803.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
51984
415.6 IPS |
|
|
Style Transfer (SP)
|
100% |
293255
377.0 IPS |
|
|
Style Transfer (HP)
|
100% |
633411
814.3 IPS |
|
|
Style Transfer (Q)
|
98% |
264385
340.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
36096
1.33 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
42560
1.57 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28998
1.07 KIPS |
|
|
Text Classification (SP)
|
100% |
2451
3.27 KIPS |
|
|
Text Classification (HP)
|
99% |
3074
4.10 KIPS |
|
|
Text Classification (Q)
|
97% |
1595
2.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
3875
66.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3852
66.4 IPS |
|
|
Machine Translation (Q)
|
70% |
2203
41.3 IPS |