| Upload Date | December 03 2025 06:36 PM |
| Views | 1 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z890 GAMING X WIFI7 |
| Motherboard | Gigabyte Technology Co., Ltd. Z890 GAMING X WIFI7 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 285K |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
15476
2.88 KIPS |
|
|
Image Classification (HP)
|
100% |
19410
3.61 KIPS |
|
|
Image Classification (Q)
|
100% |
13228
2.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
34185
554.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
42231
684.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
30756
500.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
386620
451.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
909382
1.06 KIPS |
|
|
Pose Estimation (Q)
|
96% |
317692
372.1 IPS |
|
|
Object Detection (SP)
|
100% |
20943
1.66 KIPS |
|
|
Object Detection (HP)
|
100% |
27795
2.20 KIPS |
|
|
Object Detection (Q)
|
85% |
17645
1.42 KIPS |
|
|
Face Detection (SP)
|
100% |
66165
786.2 IPS |
|
|
Face Detection (HP)
|
100% |
81865
972.7 IPS |
|
|
Face Detection (Q)
|
97% |
52195
622.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
99410
765.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
173281
1.34 KIPS |
|
|
Depth Estimation (Q)
|
77% |
72770
582.9 IPS |
|
|
Style Transfer (SP)
|
100% |
561652
722.0 IPS |
|
|
Style Transfer (HP)
|
100% |
1517200
1.95 KIPS |
|
|
Style Transfer (Q)
|
98% |
472536
609.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
65606
2.42 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
82004
3.03 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48486
1.80 KIPS |
|
|
Text Classification (SP)
|
100% |
3655
4.88 KIPS |
|
|
Text Classification (HP)
|
100% |
4416
5.89 KIPS |
|
|
Text Classification (Q)
|
97% |
2134
2.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
6199
106.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6345
109.3 IPS |
|
|
Machine Translation (Q)
|
70% |
2950
55.3 IPS |