| Upload Date | November 13 2025 03:13 PM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B760M AORUS ELITE WIFI6E GEN5 |
| Motherboard | Gigabyte Technology Co., Ltd. B760M AORUS ELITE WIFI6E GEN5 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700F |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11179
2.08 KIPS |
|
|
Image Classification (HP)
|
100% |
18699
3.48 KIPS |
|
|
Image Classification (Q)
|
100% |
10130
1.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20175
327.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
26522
429.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
17329
281.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
162844
190.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
478138
557.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
137990
161.6 IPS |
|
|
Object Detection (SP)
|
100% |
14528
1.15 KIPS |
|
|
Object Detection (HP)
|
100% |
23784
1.89 KIPS |
|
|
Object Detection (Q)
|
83% |
12206
986.2 IPS |
|
|
Face Detection (SP)
|
100% |
38230
454.3 IPS |
|
|
Face Detection (HP)
|
100% |
55280
656.8 IPS |
|
|
Face Detection (Q)
|
97% |
32731
390.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
69820
537.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
132311
1.02 KIPS |
|
|
Depth Estimation (Q)
|
78% |
53148
424.2 IPS |
|
|
Style Transfer (SP)
|
100% |
233459
300.1 IPS |
|
|
Style Transfer (HP)
|
100% |
789008
1.01 KIPS |
|
|
Style Transfer (Q)
|
98% |
196069
252.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
42434
1.57 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
79016
2.92 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33712
1.25 KIPS |
|
|
Text Classification (SP)
|
100% |
3996
5.33 KIPS |
|
|
Text Classification (HP)
|
100% |
4857
6.48 KIPS |
|
|
Text Classification (Q)
|
97% |
2461
3.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
5724
98.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5892
101.5 IPS |
|
|
Machine Translation (Q)
|
70% |
2804
52.6 IPS |