| User | Benster412 |
| Upload Date | October 09 2024 03:06 AM |
| Views | 18 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics 770 (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX Z690-F GAMING WIFI |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-12900K |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1581
294.1 IPS |
|
|
Image Classification (HP)
|
100% |
2635
490.1 IPS |
|
|
Image Classification (Q)
|
99% |
3923
731.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2367
38.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3778
61.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4509
73.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4250
4.96 IPS |
|
|
Pose Estimation (HP)
|
99% |
3094
3.61 IPS |
|
|
Pose Estimation (Q)
|
97% |
12690
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
1407
111.6 IPS |
|
|
Object Detection (HP)
|
98% |
2255
179.5 IPS |
|
|
Object Detection (Q)
|
90% |
4225
337.8 IPS |
|
|
Face Detection (SP)
|
100% |
5021
59.7 IPS |
|
|
Face Detection (HP)
|
100% |
7657
91.0 IPS |
|
|
Face Detection (Q)
|
100% |
10442
124.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4996
38.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
8324
64.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
11252
87.5 IPS |
|
|
Style Transfer (SP)
|
100% |
11135
14.3 IPS |
|
|
Style Transfer (HP)
|
100% |
17238
22.2 IPS |
|
|
Style Transfer (Q)
|
98% |
28927
37.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1976
73.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3220
118.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6565
243.1 IPS |
|
|
Text Classification (SP)
|
71% |
1122
1.62 KIPS |
|
|
Text Classification (HP)
|
71% |
1415
2.05 KIPS |
|
|
Text Classification (Q)
|
92% |
1408
1.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
1072
18.5 IPS |
|
|
Machine Translation (HP)
|
98% |
1635
28.3 IPS |
|
|
Machine Translation (Q)
|
100% |
1641
28.3 IPS |