User | SkatterBencher |
Upload Date | April 26 2025 07:29 AM |
Views | 5 |
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% |
6109
1.14 KIPS |
|
Image Classification (HP)
|
100% |
9181
1.71 KIPS |
|
Image Classification (Q)
|
100% |
11968
2.23 KIPS |
|
Image Segmentation (SP)
|
100% |
6064
98.3 IPS |
|
Image Segmentation (HP)
|
100% |
13788
223.5 IPS |
|
Image Segmentation (Q)
|
99% |
19949
323.4 IPS |
|
Pose Estimation (SP)
|
100% |
18865
22.0 IPS |
|
Pose Estimation (HP)
|
99% |
17563
20.6 IPS |
|
Pose Estimation (Q)
|
97% |
57026
66.8 IPS |
|
Object Detection (SP)
|
100% |
5642
447.6 IPS |
|
Object Detection (HP)
|
100% |
8869
703.5 IPS |
|
Object Detection (Q)
|
88% |
14279
1.14 KIPS |
|
Face Detection (SP)
|
100% |
11714
139.2 IPS |
|
Face Detection (HP)
|
100% |
22816
271.1 IPS |
|
Face Detection (Q)
|
100% |
34159
405.9 IPS |
|
Depth Estimation (SP)
|
100% |
19368
149.2 IPS |
|
Depth Estimation (HP)
|
98% |
34217
264.5 IPS |
|
Depth Estimation (Q)
|
89% |
39506
307.1 IPS |
|
Style Transfer (SP)
|
100% |
46252
59.5 IPS |
|
Style Transfer (HP)
|
100% |
62267
80.0 IPS |
|
Style Transfer (Q)
|
98% |
131239
169.2 IPS |
|
Image Super-Resolution (SP)
|
100% |
8187
302.3 IPS |
|
Image Super-Resolution (HP)
|
100% |
14336
529.4 IPS |
|
Image Super-Resolution (Q)
|
99% |
22791
844.0 IPS |
|
Text Classification (SP)
|
71% |
2395
3.46 KIPS |
|
Text Classification (HP)
|
71% |
3738
5.41 KIPS |
|
Text Classification (Q)
|
92% |
3905
5.25 KIPS |
|
Machine Translation (SP)
|
100% |
3302
56.9 IPS |
|
Machine Translation (HP)
|
96% |
4663
80.6 IPS |
|
Machine Translation (Q)
|
100% |
4665
80.4 IPS |