| Upload Date | November 14 2025 01:40 PM |
| 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 H |
| Motherboard | Gigabyte Technology Co., Ltd. B760M H |
| 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 | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8024
1.49 KIPS |
|
|
Image Classification (HP)
|
100% |
14357
2.67 KIPS |
|
|
Image Classification (Q)
|
99% |
6362
1.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11427
185.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
15721
254.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
10610
172.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
91518
106.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
289773
338.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
79556
93.2 IPS |
|
|
Object Detection (SP)
|
100% |
9613
762.5 IPS |
|
|
Object Detection (HP)
|
100% |
15359
1.22 KIPS |
|
|
Object Detection (Q)
|
83% |
8689
702.0 IPS |
|
|
Face Detection (SP)
|
100% |
22732
270.1 IPS |
|
|
Face Detection (HP)
|
100% |
34806
413.6 IPS |
|
|
Face Detection (Q)
|
97% |
19525
232.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
43460
334.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
92477
712.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
36106
288.7 IPS |
|
|
Style Transfer (SP)
|
100% |
146133
187.9 IPS |
|
|
Style Transfer (HP)
|
100% |
481260
618.7 IPS |
|
|
Style Transfer (Q)
|
98% |
126156
162.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26234
968.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48670
1.80 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
20410
755.7 IPS |
|
|
Text Classification (SP)
|
100% |
3616
4.83 KIPS |
|
|
Text Classification (HP)
|
100% |
4513
6.02 KIPS |
|
|
Text Classification (Q)
|
97% |
2150
2.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
3576
61.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3767
64.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1646
30.9 IPS |