| User | SkatterBencher |
| Upload Date | April 12 2025 06:24 AM |
| Views | 9 |
| 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% |
4358
810.5 IPS |
|
|
Image Classification (HP)
|
100% |
6717
1.25 KIPS |
|
|
Image Classification (Q)
|
100% |
8779
1.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5103
82.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
10310
167.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
13994
226.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
12301
14.4 IPS |
|
|
Pose Estimation (HP)
|
99% |
11517
13.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
37233
43.6 IPS |
|
|
Object Detection (SP)
|
100% |
4041
320.5 IPS |
|
|
Object Detection (HP)
|
100% |
6494
515.1 IPS |
|
|
Object Detection (Q)
|
88% |
10253
821.6 IPS |
|
|
Face Detection (SP)
|
100% |
10425
123.9 IPS |
|
|
Face Detection (HP)
|
100% |
18993
225.7 IPS |
|
|
Face Detection (Q)
|
100% |
27092
321.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
13851
106.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
24316
187.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
27001
209.9 IPS |
|
|
Style Transfer (SP)
|
100% |
30947
39.8 IPS |
|
|
Style Transfer (HP)
|
100% |
43236
55.6 IPS |
|
|
Style Transfer (Q)
|
98% |
86257
111.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5524
204.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9931
366.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15735
582.7 IPS |
|
|
Text Classification (SP)
|
71% |
1868
2.70 KIPS |
|
|
Text Classification (HP)
|
71% |
2807
4.06 KIPS |
|
|
Text Classification (Q)
|
92% |
2957
3.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
2490
42.9 IPS |
|
|
Machine Translation (HP)
|
96% |
3624
62.7 IPS |
|
|
Machine Translation (Q)
|
100% |
3599
62.0 IPS |