| Upload Date | December 05 2025 05:47 AM |
| Views | 4 |
| 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 183 Stepping 1 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8375
1.56 KIPS |
|
|
Image Classification (HP)
|
100% |
15527
2.89 KIPS |
|
|
Image Classification (Q)
|
99% |
7297
1.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13124
212.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
18870
305.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
11973
194.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
93277
108.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
300347
350.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
78382
91.8 IPS |
|
|
Object Detection (SP)
|
100% |
10500
832.8 IPS |
|
|
Object Detection (HP)
|
100% |
17611
1.40 KIPS |
|
|
Object Detection (Q)
|
83% |
9118
736.6 IPS |
|
|
Face Detection (SP)
|
100% |
24164
287.1 IPS |
|
|
Face Detection (HP)
|
100% |
39024
463.7 IPS |
|
|
Face Detection (Q)
|
97% |
21492
256.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
45411
349.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
101381
781.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
38431
307.3 IPS |
|
|
Style Transfer (SP)
|
100% |
146847
188.8 IPS |
|
|
Style Transfer (HP)
|
100% |
512761
659.2 IPS |
|
|
Style Transfer (Q)
|
98% |
126047
162.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
27905
1.03 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
54268
2.00 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
21879
810.2 IPS |
|
|
Text Classification (SP)
|
100% |
3623
4.84 KIPS |
|
|
Text Classification (HP)
|
100% |
4501
6.01 KIPS |
|
|
Text Classification (Q)
|
97% |
2147
2.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
4206
72.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4564
78.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1818
34.1 IPS |