| User | alexb |
| Upload Date | July 02 2025 12:28 PM |
| Views | 8 |
| 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 STRIX Z890-I GAMING WIFI |
| Power Plan | Balanced |
| 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 | 96.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3923
729.6 IPS |
|
|
Image Classification (HP)
|
100% |
6005
1.12 KIPS |
|
|
Image Classification (Q)
|
100% |
7993
1.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3662
59.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
8815
142.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
11392
184.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
12042
14.1 IPS |
|
|
Pose Estimation (HP)
|
99% |
11275
13.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
36392
42.6 IPS |
|
|
Object Detection (SP)
|
100% |
3573
283.4 IPS |
|
|
Object Detection (HP)
|
100% |
5507
436.8 IPS |
|
|
Object Detection (Q)
|
88% |
9634
772.1 IPS |
|
|
Face Detection (SP)
|
100% |
7511
89.2 IPS |
|
|
Face Detection (HP)
|
100% |
15450
183.6 IPS |
|
|
Face Detection (Q)
|
100% |
25387
301.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
12484
96.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
21975
169.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
25427
197.6 IPS |
|
|
Style Transfer (SP)
|
100% |
28869
37.1 IPS |
|
|
Style Transfer (HP)
|
100% |
40185
51.7 IPS |
|
|
Style Transfer (Q)
|
98% |
84401
108.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5233
193.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9394
346.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14998
555.4 IPS |
|
|
Text Classification (SP)
|
71% |
1582
2.29 KIPS |
|
|
Text Classification (HP)
|
71% |
2405
3.48 KIPS |
|
|
Text Classification (Q)
|
92% |
2725
3.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
2039
35.1 IPS |
|
|
Machine Translation (HP)
|
98% |
3788
65.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3749
64.8 IPS |