User | SkatterBencher |
Upload Date | April 24 2025 09:19 AM |
Views | 4 |
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% |
5539
1.03 KIPS |
|
Image Classification (HP)
|
100% |
8317
1.55 KIPS |
|
Image Classification (Q)
|
100% |
10949
2.04 KIPS |
|
Image Segmentation (SP)
|
100% |
5545
89.9 IPS |
|
Image Segmentation (HP)
|
100% |
12468
202.1 IPS |
|
Image Segmentation (Q)
|
99% |
17514
283.9 IPS |
|
Pose Estimation (SP)
|
100% |
17033
19.9 IPS |
|
Pose Estimation (HP)
|
99% |
15887
18.6 IPS |
|
Pose Estimation (Q)
|
97% |
51634
60.5 IPS |
|
Object Detection (SP)
|
100% |
5116
405.8 IPS |
|
Object Detection (HP)
|
100% |
7998
634.4 IPS |
|
Object Detection (Q)
|
88% |
13164
1.05 KIPS |
|
Face Detection (SP)
|
100% |
10950
130.1 IPS |
|
Face Detection (HP)
|
100% |
20969
249.2 IPS |
|
Face Detection (Q)
|
100% |
32124
381.7 IPS |
|
Depth Estimation (SP)
|
100% |
17835
137.4 IPS |
|
Depth Estimation (HP)
|
98% |
31163
240.9 IPS |
|
Depth Estimation (Q)
|
89% |
35304
274.4 IPS |
|
Style Transfer (SP)
|
100% |
41591
53.5 IPS |
|
Style Transfer (HP)
|
100% |
56554
72.7 IPS |
|
Style Transfer (Q)
|
98% |
118395
152.7 IPS |
|
Image Super-Resolution (SP)
|
100% |
7399
273.2 IPS |
|
Image Super-Resolution (HP)
|
100% |
13251
489.3 IPS |
|
Image Super-Resolution (Q)
|
99% |
20784
769.7 IPS |
|
Text Classification (SP)
|
71% |
2227
3.22 KIPS |
|
Text Classification (HP)
|
71% |
3395
4.91 KIPS |
|
Text Classification (Q)
|
92% |
3534
4.75 KIPS |
|
Machine Translation (SP)
|
100% |
3048
52.5 IPS |
|
Machine Translation (HP)
|
96% |
4338
75.0 IPS |
|
Machine Translation (Q)
|
100% |
4347
74.9 IPS |