| User | chemeya |
| Upload Date | November 06 2025 06:38 AM |
| Views | 1 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Radeon RX Vega |
| 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% |
5425
1.01 KIPS |
|
|
Image Classification (HP)
|
100% |
6554
1.22 KIPS |
|
|
Image Classification (Q)
|
100% |
4394
817.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
7543
122.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
8425
136.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
6463
105.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
78195
91.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
113439
132.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
62766
73.5 IPS |
|
|
Object Detection (SP)
|
100% |
6307
500.3 IPS |
|
|
Object Detection (HP)
|
100% |
6348
503.5 IPS |
|
|
Object Detection (Q)
|
88% |
5192
416.3 IPS |
|
|
Face Detection (SP)
|
100% |
16792
199.5 IPS |
|
|
Face Detection (HP)
|
100% |
20182
239.8 IPS |
|
|
Face Detection (Q)
|
97% |
13727
163.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
30064
231.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
35723
275.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
22619
181.2 IPS |
|
|
Style Transfer (SP)
|
100% |
147769
190.0 IPS |
|
|
Style Transfer (HP)
|
100% |
211392
271.7 IPS |
|
|
Style Transfer (Q)
|
98% |
116018
149.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
18689
690.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22922
846.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12888
477.2 IPS |
|
|
Text Classification (SP)
|
100% |
1960
2.62 KIPS |
|
|
Text Classification (HP)
|
100% |
1991
2.66 KIPS |
|
|
Text Classification (Q)
|
97% |
1064
1.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
2987
51.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3157
54.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1266
23.7 IPS |