| User | alexb |
| Upload Date | August 23 2025 04:47 PM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 285K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX Z890-I GAMING WIFI |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) 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% |
3248
604.1 IPS |
|
|
Image Classification (HP)
|
100% |
852
158.4 IPS |
|
|
Image Classification (Q)
|
99% |
10176
1.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2498
40.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1552
25.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
15316
249.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
13890
16.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
8400
9.80 IPS |
|
|
Pose Estimation (Q)
|
94% |
54822
64.3 IPS |
|
|
Object Detection (SP)
|
100% |
5296
420.1 IPS |
|
|
Object Detection (HP)
|
100% |
1065
84.5 IPS |
|
|
Object Detection (Q)
|
86% |
9416
756.8 IPS |
|
|
Face Detection (SP)
|
100% |
16416
195.1 IPS |
|
|
Face Detection (HP)
|
100% |
2473
29.4 IPS |
|
|
Face Detection (Q)
|
97% |
10202
121.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
11129
85.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3054
23.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
20162
160.9 IPS |
|
|
Style Transfer (SP)
|
100% |
14048
18.1 IPS |
|
|
Style Transfer (HP)
|
100% |
10239
13.2 IPS |
|
|
Style Transfer (Q)
|
98% |
24636
31.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4465
164.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3572
131.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7385
273.5 IPS |
|
|
Text Classification (SP)
|
100% |
1825
2.44 KIPS |
|
|
Text Classification (HP)
|
100% |
1099
1.47 KIPS |
|
|
Text Classification (Q)
|
97% |
1610
2.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
3247
55.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1536
26.5 IPS |
|
|
Machine Translation (Q)
|
65% |
4432
89.1 IPS |