| Upload Date | January 11 2026 04:24 PM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3050 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | Gigabyte Technology Co., Ltd. H67MA-USB3-B3 |
| Motherboard | Gigabyte Technology Co., Ltd. H67MA-USB3-B3 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-3770K |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 58 Stepping 9 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3979
740.1 IPS |
|
|
Image Classification (HP)
|
99% |
6693
1.25 KIPS |
|
|
Image Classification (Q)
|
100% |
3266
607.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
5668
91.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
8486
137.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
4826
78.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
49463
57.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
144942
169.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
40738
47.7 IPS |
|
|
Object Detection (SP)
|
100% |
4926
390.7 IPS |
|
|
Object Detection (HP)
|
100% |
8450
670.2 IPS |
|
|
Object Detection (Q)
|
84% |
3963
319.7 IPS |
|
|
Face Detection (SP)
|
100% |
10750
127.7 IPS |
|
|
Face Detection (HP)
|
100% |
16838
200.1 IPS |
|
|
Face Detection (Q)
|
97% |
8793
104.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
24812
191.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
49035
378.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
17907
143.3 IPS |
|
|
Style Transfer (SP)
|
100% |
82983
106.7 IPS |
|
|
Style Transfer (HP)
|
100% |
196756
252.9 IPS |
|
|
Style Transfer (Q)
|
98% |
65096
83.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15316
565.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24740
913.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9520
352.5 IPS |
|
|
Text Classification (SP)
|
100% |
2008
2.68 KIPS |
|
|
Text Classification (HP)
|
99% |
2527
3.37 KIPS |
|
|
Text Classification (Q)
|
97% |
1058
1.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
2306
39.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2369
40.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1111
20.8 IPS |