| User | gethen |
| Upload Date | July 06 2025 08:46 AM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASRock B760M Pro-A WiFi |
| Motherboard | ASRock B760M Pro-A WiFi |
| Power Plan | High performance |
| 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% |
7339
1.36 KIPS |
|
|
Image Classification (HP)
|
100% |
14889
2.77 KIPS |
|
|
Image Classification (Q)
|
99% |
6495
1.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14845
240.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
23088
374.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
13329
216.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
97659
114.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
297065
346.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
82167
96.2 IPS |
|
|
Object Detection (SP)
|
100% |
10068
798.6 IPS |
|
|
Object Detection (HP)
|
100% |
16072
1.27 KIPS |
|
|
Object Detection (Q)
|
83% |
8644
698.4 IPS |
|
|
Face Detection (SP)
|
100% |
25322
300.9 IPS |
|
|
Face Detection (HP)
|
100% |
41869
497.5 IPS |
|
|
Face Detection (Q)
|
97% |
22058
263.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
46375
357.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
92476
712.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
37601
300.6 IPS |
|
|
Style Transfer (SP)
|
100% |
147036
189.0 IPS |
|
|
Style Transfer (HP)
|
100% |
492048
632.5 IPS |
|
|
Style Transfer (Q)
|
98% |
124174
160.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
25986
959.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48650
1.80 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
20007
740.8 IPS |
|
|
Text Classification (SP)
|
100% |
3165
4.22 KIPS |
|
|
Text Classification (HP)
|
100% |
3993
5.33 KIPS |
|
|
Text Classification (Q)
|
97% |
1979
2.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
4820
83.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4965
85.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1931
36.2 IPS |