| Upload Date | November 07 2025 09:56 AM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B760M GAMING WIFI6E GEN5 |
| Motherboard | Gigabyte Technology Co., Ltd. B760M GAMING WIFI6E GEN5 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-14400F |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 191 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7419
1.38 KIPS |
|
|
Image Classification (HP)
|
100% |
15532
2.89 KIPS |
|
|
Image Classification (Q)
|
99% |
6658
1.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11618
188.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
16016
259.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
10720
174.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
91817
107.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
286317
334.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
78690
92.2 IPS |
|
|
Object Detection (SP)
|
100% |
9908
785.9 IPS |
|
|
Object Detection (HP)
|
100% |
15393
1.22 KIPS |
|
|
Object Detection (Q)
|
83% |
8557
691.3 IPS |
|
|
Face Detection (SP)
|
100% |
23009
273.4 IPS |
|
|
Face Detection (HP)
|
100% |
35402
420.6 IPS |
|
|
Face Detection (Q)
|
97% |
20035
238.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
44763
344.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
92862
715.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
37345
298.6 IPS |
|
|
Style Transfer (SP)
|
100% |
142962
183.8 IPS |
|
|
Style Transfer (HP)
|
100% |
489232
628.9 IPS |
|
|
Style Transfer (Q)
|
98% |
119667
154.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26552
980.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49923
1.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
20629
763.8 IPS |
|
|
Text Classification (SP)
|
100% |
3622
4.83 KIPS |
|
|
Text Classification (HP)
|
100% |
4473
5.97 KIPS |
|
|
Text Classification (Q)
|
97% |
2166
2.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
3740
64.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4026
69.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1731
32.5 IPS |