| Upload Date | November 20 2025 08:37 AM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Thirdwave Corporation MV |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B760M-AJ D4 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700F |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 80.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6145
1.14 KIPS |
|
|
Image Classification (HP)
|
99% |
10549
1.97 KIPS |
|
|
Image Classification (Q)
|
99% |
4570
852.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
10251
166.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
16646
269.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
7996
130.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
68101
79.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
182377
212.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
56525
66.2 IPS |
|
|
Object Detection (SP)
|
100% |
7262
576.1 IPS |
|
|
Object Detection (HP)
|
100% |
13698
1.09 KIPS |
|
|
Object Detection (Q)
|
84% |
5606
452.1 IPS |
|
|
Face Detection (SP)
|
100% |
17153
203.8 IPS |
|
|
Face Detection (HP)
|
100% |
29577
351.4 IPS |
|
|
Face Detection (Q)
|
97% |
13612
162.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
32090
247.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
66188
511.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
22507
180.2 IPS |
|
|
Style Transfer (SP)
|
100% |
113686
146.1 IPS |
|
|
Style Transfer (HP)
|
100% |
293937
377.9 IPS |
|
|
Style Transfer (Q)
|
98% |
91150
117.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
21003
775.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34917
1.29 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
13229
489.8 IPS |
|
|
Text Classification (SP)
|
100% |
2422
3.23 KIPS |
|
|
Text Classification (HP)
|
99% |
3246
4.33 KIPS |
|
|
Text Classification (Q)
|
97% |
1226
1.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
3840
66.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3924
67.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1377
25.8 IPS |