| User | Michael4u |
| Upload Date | April 24 2025 02:20 AM |
| Views | 11 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro Insider Preview (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX Z890-E GAMING WIFI |
| Power Plan | Gebalanceerd |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265K |
| 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 | 48.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9589
1.78 KIPS |
|
|
Image Classification (HP)
|
99% |
13226
2.47 KIPS |
|
|
Image Classification (Q)
|
100% |
6019
1.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16966
275.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
23490
380.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
12048
195.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
170414
198.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
360120
420.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
129899
152.1 IPS |
|
|
Object Detection (SP)
|
100% |
12618
1.00 KIPS |
|
|
Object Detection (HP)
|
100% |
17216
1.37 KIPS |
|
|
Object Detection (Q)
|
89% |
7810
625.2 IPS |
|
|
Face Detection (SP)
|
100% |
32024
380.5 IPS |
|
|
Face Detection (HP)
|
100% |
44802
532.3 IPS |
|
|
Face Detection (Q)
|
97% |
20142
240.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
62985
485.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
102649
790.9 IPS |
|
|
Depth Estimation (Q)
|
76% |
35627
287.2 IPS |
|
|
Style Transfer (SP)
|
100% |
276314
355.2 IPS |
|
|
Style Transfer (HP)
|
100% |
637141
819.1 IPS |
|
|
Style Transfer (Q)
|
98% |
193083
249.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
39697
1.47 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
56296
2.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
22287
825.2 IPS |
|
|
Text Classification (SP)
|
100% |
2940
3.92 KIPS |
|
|
Text Classification (HP)
|
99% |
3739
4.99 KIPS |
|
|
Text Classification (Q)
|
97% |
1476
1.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
4464
76.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4430
76.3 IPS |
|
|
Machine Translation (Q)
|
60% |
1348
30.1 IPS |