| User | Sparrrxw |
| Upload Date | June 03 2025 11:24 PM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 2060 SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Gigabyte Technology Co., Ltd. H370M-DS3H |
| Motherboard | Gigabyte Technology Co., Ltd. H370M DS3H-CF |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-9400F |
| Topology | 1 Processor, 6 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4820
896.4 IPS |
|
|
Image Classification (HP)
|
100% |
7406
1.38 KIPS |
|
|
Image Classification (Q)
|
99% |
3820
712.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
8604
139.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
11534
187.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
7096
115.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
59935
69.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
201367
235.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
51004
59.8 IPS |
|
|
Object Detection (SP)
|
100% |
6290
499.0 IPS |
|
|
Object Detection (HP)
|
100% |
10093
800.6 IPS |
|
|
Object Detection (Q)
|
84% |
4881
393.7 IPS |
|
|
Face Detection (SP)
|
100% |
16070
190.9 IPS |
|
|
Face Detection (HP)
|
100% |
24408
290.0 IPS |
|
|
Face Detection (Q)
|
97% |
13146
156.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
32792
252.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
58261
448.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
23036
184.3 IPS |
|
|
Style Transfer (SP)
|
100% |
109772
141.1 IPS |
|
|
Style Transfer (HP)
|
100% |
250374
321.9 IPS |
|
|
Style Transfer (Q)
|
98% |
90765
117.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17992
664.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27696
1.02 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
11446
423.8 IPS |
|
|
Text Classification (SP)
|
100% |
1625
2.17 KIPS |
|
|
Text Classification (HP)
|
99% |
2633
3.51 KIPS |
|
|
Text Classification (Q)
|
97% |
977
1.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
2868
49.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2883
49.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1294
24.3 IPS |