| Upload Date | November 13 2025 02:57 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% |
11033
2.05 KIPS |
|
|
Image Classification (HP)
|
100% |
18373
3.42 KIPS |
|
|
Image Classification (Q)
|
100% |
10061
1.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19842
321.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
26631
431.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
17314
281.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
158672
185.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
476769
556.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
134246
157.2 IPS |
|
|
Object Detection (SP)
|
100% |
14569
1.16 KIPS |
|
|
Object Detection (HP)
|
100% |
23698
1.88 KIPS |
|
|
Object Detection (Q)
|
83% |
12244
989.2 IPS |
|
|
Face Detection (SP)
|
100% |
37321
443.5 IPS |
|
|
Face Detection (HP)
|
100% |
55022
653.8 IPS |
|
|
Face Detection (Q)
|
97% |
32395
386.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
68163
525.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
135451
1.04 KIPS |
|
|
Depth Estimation (Q)
|
78% |
53037
423.3 IPS |
|
|
Style Transfer (SP)
|
100% |
225859
290.3 IPS |
|
|
Style Transfer (HP)
|
100% |
800184
1.03 KIPS |
|
|
Style Transfer (Q)
|
98% |
189415
244.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
42382
1.56 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
77668
2.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33598
1.24 KIPS |
|
|
Text Classification (SP)
|
100% |
3975
5.30 KIPS |
|
|
Text Classification (HP)
|
100% |
4835
6.45 KIPS |
|
|
Text Classification (Q)
|
97% |
2447
3.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
5750
99.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5818
100.2 IPS |
|
|
Machine Translation (Q)
|
70% |
2773
52.0 IPS |