| Upload Date | February 06 2026 06:56 PM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows Server 2025 Standard (64-bit) |
| Model | Dell Inc. PowerEdge R720 |
| Motherboard | Dell Inc. 0VWT90 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2650 |
| Topology | 2 Processors, 16 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 45 Stepping 7 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1832
340.7 IPS |
|
|
Image Classification (HP)
|
100% |
2774
515.9 IPS |
|
|
Image Classification (Q)
|
100% |
1653
307.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
3590
58.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3481
56.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3148
51.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
54549
63.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
30527
35.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
43811
51.3 IPS |
|
|
Object Detection (SP)
|
100% |
2349
186.3 IPS |
|
|
Object Detection (HP)
|
100% |
3433
272.3 IPS |
|
|
Object Detection (Q)
|
84% |
2098
169.2 IPS |
|
|
Face Detection (SP)
|
100% |
4620
54.9 IPS |
|
|
Face Detection (HP)
|
100% |
6697
79.6 IPS |
|
|
Face Detection (Q)
|
97% |
4242
50.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
16423
126.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
15817
122.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
12723
102.0 IPS |
|
|
Style Transfer (SP)
|
100% |
86582
111.3 IPS |
|
|
Style Transfer (HP)
|
100% |
51991
66.8 IPS |
|
|
Style Transfer (Q)
|
98% |
67235
86.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13428
495.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11407
421.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9079
336.2 IPS |
|
|
Text Classification (SP)
|
100% |
1192
1.59 KIPS |
|
|
Text Classification (HP)
|
100% |
1449
1.93 KIPS |
|
|
Text Classification (Q)
|
97% |
818
1.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
1540
26.5 IPS |
|
|
Machine Translation (HP)
|
96% |
1516
26.2 IPS |
|
|
Machine Translation (Q)
|
70% |
937
17.6 IPS |