User | SkatterBencher |
Upload Date | April 30 2025 11:23 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% |
6247
1.16 KIPS |
|
Image Classification (HP)
|
100% |
9404
1.75 KIPS |
|
Image Classification (Q)
|
100% |
12290
2.29 KIPS |
|
Image Segmentation (SP)
|
100% |
6203
100.6 IPS |
|
Image Segmentation (HP)
|
100% |
14058
227.9 IPS |
|
Image Segmentation (Q)
|
99% |
19686
319.1 IPS |
|
Pose Estimation (SP)
|
100% |
19010
22.2 IPS |
|
Pose Estimation (HP)
|
99% |
17740
20.8 IPS |
|
Pose Estimation (Q)
|
97% |
57553
67.4 IPS |
|
Object Detection (SP)
|
100% |
5763
457.1 IPS |
|
Object Detection (HP)
|
100% |
9103
722.1 IPS |
|
Object Detection (Q)
|
88% |
14688
1.18 KIPS |
|
Face Detection (SP)
|
100% |
12160
144.5 IPS |
|
Face Detection (HP)
|
100% |
23309
277.0 IPS |
|
Face Detection (Q)
|
100% |
35300
419.4 IPS |
|
Depth Estimation (SP)
|
100% |
19958
153.8 IPS |
|
Depth Estimation (HP)
|
98% |
34840
269.3 IPS |
|
Depth Estimation (Q)
|
89% |
40117
311.8 IPS |
|
Style Transfer (SP)
|
100% |
46940
60.3 IPS |
|
Style Transfer (HP)
|
100% |
63689
81.9 IPS |
|
Style Transfer (Q)
|
98% |
132490
170.8 IPS |
|
Image Super-Resolution (SP)
|
100% |
8284
305.9 IPS |
|
Image Super-Resolution (HP)
|
100% |
14867
549.0 IPS |
|
Image Super-Resolution (Q)
|
99% |
23304
863.1 IPS |
|
Text Classification (SP)
|
71% |
2496
3.61 KIPS |
|
Text Classification (HP)
|
71% |
3831
5.54 KIPS |
|
Text Classification (Q)
|
92% |
4009
5.39 KIPS |
|
Machine Translation (SP)
|
100% |
3395
58.5 IPS |
|
Machine Translation (HP)
|
96% |
4794
82.9 IPS |
|
Machine Translation (Q)
|
100% |
4773
82.2 IPS |