| User | gundar |
| Upload Date | January 16 2026 04:08 AM |
| Views | 11 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. XPS 8940 |
| Motherboard | Dell Inc. 0427JK |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-11900K |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 167 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5938
1.10 KIPS |
|
|
Image Classification (HP)
|
99% |
8863
1.65 KIPS |
|
|
Image Classification (Q)
|
100% |
4864
904.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
9268
150.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
13212
214.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
7813
127.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
99844
116.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
259575
302.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
81237
95.2 IPS |
|
|
Object Detection (SP)
|
100% |
8482
672.8 IPS |
|
|
Object Detection (HP)
|
100% |
11105
880.9 IPS |
|
|
Object Detection (Q)
|
85% |
5741
462.2 IPS |
|
|
Face Detection (SP)
|
100% |
17705
210.4 IPS |
|
|
Face Detection (HP)
|
100% |
25198
299.4 IPS |
|
|
Face Detection (Q)
|
97% |
14155
168.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
40540
312.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
69432
534.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
27269
218.4 IPS |
|
|
Style Transfer (SP)
|
100% |
167368
215.2 IPS |
|
|
Style Transfer (HP)
|
100% |
379394
487.7 IPS |
|
|
Style Transfer (Q)
|
98% |
128848
166.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
25179
929.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32335
1.19 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
15409
570.6 IPS |
|
|
Text Classification (SP)
|
100% |
2591
3.46 KIPS |
|
|
Text Classification (HP)
|
100% |
3203
4.28 KIPS |
|
|
Text Classification (Q)
|
97% |
1195
1.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
2608
44.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2718
46.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1219
22.9 IPS |