| User | rgba |
| Upload Date | September 06 2024 07:31 PM |
| Views | 18 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i5-13600K |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX Z690-G GAMING WIFI |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13600K |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3448
641.2 IPS |
|
|
Image Classification (HP)
|
100% |
3451
641.8 IPS |
|
|
Image Classification (Q)
|
100% |
7421
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3867
62.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3869
62.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
6871
111.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6618
7.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
6592
7.69 IPS |
|
|
Pose Estimation (Q)
|
96% |
24291
28.5 IPS |
|
|
Object Detection (SP)
|
100% |
3214
255.0 IPS |
|
|
Object Detection (HP)
|
100% |
2049
162.6 IPS |
|
|
Object Detection (Q)
|
88% |
7789
624.3 IPS |
|
|
Face Detection (SP)
|
100% |
5814
69.1 IPS |
|
|
Face Detection (HP)
|
100% |
9335
110.9 IPS |
|
|
Face Detection (Q)
|
100% |
19221
228.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8581
66.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
8597
66.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
21223
165.0 IPS |
|
|
Style Transfer (SP)
|
100% |
19888
25.6 IPS |
|
|
Style Transfer (HP)
|
100% |
19793
25.4 IPS |
|
|
Style Transfer (Q)
|
98% |
66307
85.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4092
151.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4100
151.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12587
466.1 IPS |
|
|
Text Classification (SP)
|
100% |
2153
2.87 KIPS |
|
|
Text Classification (HP)
|
100% |
2227
2.97 KIPS |
|
|
Text Classification (Q)
|
92% |
4372
5.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
4620
79.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4456
76.8 IPS |
|
|
Machine Translation (Q)
|
100% |
4588
79.0 IPS |