User | SkatterBencher |
Upload Date | April 12 2025 01:46 AM |
Views | 2 |
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% |
4085
759.7 IPS |
|
Image Classification (HP)
|
100% |
6505
1.21 KIPS |
|
Image Classification (Q)
|
100% |
8613
1.60 KIPS |
|
Image Segmentation (SP)
|
100% |
4667
75.7 IPS |
|
Image Segmentation (HP)
|
100% |
9500
154.0 IPS |
|
Image Segmentation (Q)
|
99% |
13663
221.5 IPS |
|
Pose Estimation (SP)
|
100% |
12283
14.3 IPS |
|
Pose Estimation (HP)
|
99% |
11507
13.5 IPS |
|
Pose Estimation (Q)
|
97% |
37184
43.5 IPS |
|
Object Detection (SP)
|
100% |
3854
305.7 IPS |
|
Object Detection (HP)
|
100% |
6190
491.0 IPS |
|
Object Detection (Q)
|
88% |
10088
808.5 IPS |
|
Face Detection (SP)
|
100% |
9632
114.5 IPS |
|
Face Detection (HP)
|
100% |
18147
215.6 IPS |
|
Face Detection (Q)
|
100% |
26590
315.9 IPS |
|
Depth Estimation (SP)
|
100% |
13319
102.6 IPS |
|
Depth Estimation (HP)
|
98% |
23361
180.6 IPS |
|
Depth Estimation (Q)
|
89% |
26690
207.5 IPS |
|
Style Transfer (SP)
|
100% |
30646
39.4 IPS |
|
Style Transfer (HP)
|
100% |
42265
54.3 IPS |
|
Style Transfer (Q)
|
98% |
85905
110.8 IPS |
|
Image Super-Resolution (SP)
|
100% |
5445
201.1 IPS |
|
Image Super-Resolution (HP)
|
100% |
9767
360.7 IPS |
|
Image Super-Resolution (Q)
|
99% |
15595
577.6 IPS |
|
Text Classification (SP)
|
71% |
1731
2.50 KIPS |
|
Text Classification (HP)
|
71% |
2746
3.97 KIPS |
|
Text Classification (Q)
|
92% |
2891
3.88 KIPS |
|
Machine Translation (SP)
|
100% |
2448
42.2 IPS |
|
Machine Translation (HP)
|
96% |
3512
60.7 IPS |
|
Machine Translation (Q)
|
100% |
3485
60.0 IPS |