| Upload Date | November 09 2025 09:52 AM |
| Views | 6 |
| 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. Z790 EAGLE AX |
| Motherboard | Gigabyte Technology Co., Ltd. Z790 EAGLE AX |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700KF |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8743
1.63 KIPS |
|
|
Image Classification (HP)
|
100% |
16977
3.16 KIPS |
|
|
Image Classification (Q)
|
99% |
7314
1.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15441
250.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
25062
406.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
13935
226.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
95072
110.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
290312
338.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
84271
98.7 IPS |
|
|
Object Detection (SP)
|
100% |
10911
865.5 IPS |
|
|
Object Detection (HP)
|
100% |
18963
1.50 KIPS |
|
|
Object Detection (Q)
|
83% |
9287
750.4 IPS |
|
|
Face Detection (SP)
|
100% |
26386
313.5 IPS |
|
|
Face Detection (HP)
|
100% |
46251
549.6 IPS |
|
|
Face Detection (Q)
|
97% |
22265
265.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
45790
352.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
102077
786.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
36392
291.0 IPS |
|
|
Style Transfer (SP)
|
100% |
146072
187.8 IPS |
|
|
Style Transfer (HP)
|
100% |
528755
679.7 IPS |
|
|
Style Transfer (Q)
|
98% |
124602
160.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
27669
1.02 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
58292
2.15 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
21026
778.6 IPS |
|
|
Text Classification (SP)
|
100% |
3702
4.94 KIPS |
|
|
Text Classification (HP)
|
100% |
4557
6.08 KIPS |
|
|
Text Classification (Q)
|
97% |
2223
2.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
5241
90.3 IPS |
|
|
Machine Translation (HP)
|
100% |
5476
94.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1783
33.4 IPS |