| Upload Date | November 17 2025 10:12 PM |
| Views | 1 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 2060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | Gigabyte Technology Co., Ltd. H310M DS2 2.0 |
| Motherboard | Gigabyte Technology Co., Ltd. H310M DS2 2.0 |
| CPU Information | |
|---|---|
| Name | Intel Core i3-9100 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 11 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4692
872.6 IPS |
|
|
Image Classification (HP)
|
100% |
7752
1.44 KIPS |
|
|
Image Classification (Q)
|
99% |
3730
695.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
8095
131.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
11442
185.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
6651
108.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
56140
65.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
151136
176.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
47464
55.6 IPS |
|
|
Object Detection (SP)
|
100% |
5728
454.4 IPS |
|
|
Object Detection (HP)
|
100% |
9684
768.1 IPS |
|
|
Object Detection (Q)
|
84% |
4661
375.9 IPS |
|
|
Face Detection (SP)
|
100% |
13843
164.5 IPS |
|
|
Face Detection (HP)
|
100% |
22844
271.4 IPS |
|
|
Face Detection (Q)
|
97% |
11534
137.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
28419
218.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
52620
406.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
20611
164.6 IPS |
|
|
Style Transfer (SP)
|
100% |
99806
128.3 IPS |
|
|
Style Transfer (HP)
|
100% |
224337
288.4 IPS |
|
|
Style Transfer (Q)
|
98% |
81698
105.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16598
612.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26972
996.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10529
389.9 IPS |
|
|
Text Classification (SP)
|
100% |
1690
2.26 KIPS |
|
|
Text Classification (HP)
|
100% |
2558
3.41 KIPS |
|
|
Text Classification (Q)
|
97% |
951
1.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
2906
50.1 IPS |
|
|
Machine Translation (HP)
|
96% |
2903
50.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1289
24.2 IPS |