| User | MiSA |
| Upload Date | December 01 2025 06:52 PM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX A1000 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B860M GAMING X WIFI6E |
| Motherboard | Gigabyte Technology Co., Ltd. B860M GAMING X WIFI6E |
| Power Plan | Kiegyenslyozott |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 265KF |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3702
688.5 IPS |
|
|
Image Classification (HP)
|
99% |
8178
1.53 KIPS |
|
|
Image Classification (Q)
|
99% |
3118
581.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
6473
104.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
11012
178.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
5252
85.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
33366
38.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
134742
157.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
29003
34.0 IPS |
|
|
Object Detection (SP)
|
100% |
4539
360.1 IPS |
|
|
Object Detection (HP)
|
100% |
10067
798.5 IPS |
|
|
Object Detection (Q)
|
84% |
3626
292.4 IPS |
|
|
Face Detection (SP)
|
100% |
10095
120.0 IPS |
|
|
Face Detection (HP)
|
100% |
18700
222.2 IPS |
|
|
Face Detection (Q)
|
97% |
8142
97.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
20821
160.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
48508
373.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
14624
117.2 IPS |
|
|
Style Transfer (SP)
|
100% |
59383
76.3 IPS |
|
|
Style Transfer (HP)
|
100% |
183937
236.5 IPS |
|
|
Style Transfer (Q)
|
98% |
48904
63.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14422
532.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26786
989.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8089
299.5 IPS |
|
|
Text Classification (SP)
|
100% |
2389
3.19 KIPS |
|
|
Text Classification (HP)
|
99% |
3103
4.14 KIPS |
|
|
Text Classification (Q)
|
97% |
1217
1.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
3258
56.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3427
59.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1243
23.3 IPS |