| User | SkatterBencher |
| Upload Date | April 14 2025 02:04 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. ROG MAXIMUS Z890 APEX |
| 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 | 48.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3926
730.0 IPS |
|
|
Image Classification (HP)
|
100% |
6103
1.13 KIPS |
|
|
Image Classification (Q)
|
100% |
8131
1.51 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3960
64.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
8714
141.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
12892
209.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
12178
14.2 IPS |
|
|
Pose Estimation (HP)
|
99% |
11394
13.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
36910
43.2 IPS |
|
|
Object Detection (SP)
|
100% |
3528
279.8 IPS |
|
|
Object Detection (HP)
|
100% |
5947
471.7 IPS |
|
|
Object Detection (Q)
|
88% |
9723
779.2 IPS |
|
|
Face Detection (SP)
|
100% |
8086
96.1 IPS |
|
|
Face Detection (HP)
|
100% |
15614
185.5 IPS |
|
|
Face Detection (Q)
|
100% |
24391
289.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
12623
97.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
22093
170.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
26096
202.8 IPS |
|
|
Style Transfer (SP)
|
100% |
30067
38.7 IPS |
|
|
Style Transfer (HP)
|
100% |
41228
53.0 IPS |
|
|
Style Transfer (Q)
|
98% |
85265
110.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5229
193.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9244
341.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15153
561.2 IPS |
|
|
Text Classification (SP)
|
71% |
1669
2.41 KIPS |
|
|
Text Classification (HP)
|
71% |
2608
3.77 KIPS |
|
|
Text Classification (Q)
|
92% |
2709
3.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
2241
38.6 IPS |
|
|
Machine Translation (HP)
|
96% |
3271
56.6 IPS |
|
|
Machine Translation (Q)
|
100% |
3279
56.5 IPS |