| User | cordyceps |
| Upload Date | May 31 2025 07:15 AM |
| Views | 10 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ProArt Z890-CREATOR WIFI |
| Power Plan | Balanced |
| 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 | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4104
763.1 IPS |
|
|
Image Classification (HP)
|
100% |
6382
1.19 KIPS |
|
|
Image Classification (Q)
|
100% |
8588
1.60 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4345
70.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9590
155.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
13588
220.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
12261
14.3 IPS |
|
|
Pose Estimation (HP)
|
99% |
11596
13.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
38631
45.2 IPS |
|
|
Object Detection (SP)
|
100% |
3878
307.6 IPS |
|
|
Object Detection (HP)
|
100% |
6177
490.0 IPS |
|
|
Object Detection (Q)
|
88% |
9600
769.4 IPS |
|
|
Face Detection (SP)
|
100% |
8894
105.7 IPS |
|
|
Face Detection (HP)
|
100% |
16681
198.2 IPS |
|
|
Face Detection (Q)
|
100% |
24581
292.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
13161
101.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
23259
179.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
27044
210.2 IPS |
|
|
Style Transfer (SP)
|
100% |
30588
39.3 IPS |
|
|
Style Transfer (HP)
|
100% |
44086
56.7 IPS |
|
|
Style Transfer (Q)
|
98% |
91351
117.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5390
199.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9745
359.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16017
593.2 IPS |
|
|
Text Classification (SP)
|
71% |
1742
2.52 KIPS |
|
|
Text Classification (HP)
|
71% |
2681
3.88 KIPS |
|
|
Text Classification (Q)
|
92% |
2730
3.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
2409
41.5 IPS |
|
|
Machine Translation (HP)
|
96% |
3412
59.0 IPS |
|
|
Machine Translation (Q)
|
100% |
3424
59.0 IPS |