| User | chemeya |
| Upload Date | November 06 2025 06:53 AM |
| Views | 1 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 980 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Education (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B660I AORUS PRO DDR4 |
| Motherboard | Gigabyte Technology Co., Ltd. B660I AORUS PRO DDR4 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-14600K |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3233
601.3 IPS |
|
|
Image Classification (HP)
|
100% |
3173
590.0 IPS |
|
|
Image Classification (Q)
|
99% |
2447
456.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
5043
81.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
5147
83.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3832
62.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
32537
38.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
30471
35.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
27183
31.8 IPS |
|
|
Object Detection (SP)
|
100% |
4225
335.1 IPS |
|
|
Object Detection (HP)
|
100% |
4151
329.3 IPS |
|
|
Object Detection (Q)
|
84% |
3211
258.9 IPS |
|
|
Face Detection (SP)
|
100% |
7981
94.8 IPS |
|
|
Face Detection (HP)
|
100% |
8294
98.5 IPS |
|
|
Face Detection (Q)
|
97% |
6066
72.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
15693
120.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
14387
111.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
11521
92.1 IPS |
|
|
Style Transfer (SP)
|
100% |
55028
70.7 IPS |
|
|
Style Transfer (HP)
|
100% |
46635
60.0 IPS |
|
|
Style Transfer (Q)
|
98% |
45328
58.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11858
437.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11172
412.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7515
278.3 IPS |
|
|
Text Classification (SP)
|
100% |
1843
2.46 KIPS |
|
|
Text Classification (HP)
|
100% |
1963
2.62 KIPS |
|
|
Text Classification (Q)
|
97% |
975
1.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
2977
51.3 IPS |
|
|
Machine Translation (HP)
|
96% |
2894
50.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1168
21.9 IPS |