| User | asymptotepmo |
| Upload Date | September 16 2025 07:42 AM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX 4500 Ada Generation |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | HP HP Z4 G5 Workstation Desktop PC |
| Motherboard | HP 8962 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Xeon w5-2465X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 143 Stepping 8 |
| Base Frequency | 3.10 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9329
1.73 KIPS |
|
|
Image Classification (HP)
|
99% |
14087
2.63 KIPS |
|
|
Image Classification (Q)
|
100% |
8258
1.54 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17560
284.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
21682
351.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
16108
261.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
161585
188.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
378277
441.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
149878
175.6 IPS |
|
|
Object Detection (SP)
|
100% |
11847
939.7 IPS |
|
|
Object Detection (HP)
|
100% |
17495
1.39 KIPS |
|
|
Object Detection (Q)
|
85% |
10414
837.7 IPS |
|
|
Face Detection (SP)
|
100% |
33873
402.5 IPS |
|
|
Face Detection (HP)
|
100% |
46318
550.4 IPS |
|
|
Face Detection (Q)
|
97% |
29705
354.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
56863
438.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
101973
785.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
45162
362.2 IPS |
|
|
Style Transfer (SP)
|
100% |
283469
364.4 IPS |
|
|
Style Transfer (HP)
|
100% |
658383
846.4 IPS |
|
|
Style Transfer (Q)
|
98% |
253923
327.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
38776
1.43 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
47569
1.76 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30624
1.13 KIPS |
|
|
Text Classification (SP)
|
100% |
2450
3.27 KIPS |
|
|
Text Classification (HP)
|
100% |
2111
2.82 KIPS |
|
|
Text Classification (Q)
|
97% |
1608
2.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
5176
89.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4930
84.9 IPS |
|
|
Machine Translation (Q)
|
70% |
2475
46.4 IPS |