| User | hisyho |
| Upload Date | July 26 2025 02:28 AM |
| Views | 9 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-14700K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING Z690-PLUS WIFI D4 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700K |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4370
812.7 IPS |
|
|
Image Classification (HP)
|
100% |
4486
834.2 IPS |
|
|
Image Classification (Q)
|
100% |
9513
1.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3288
53.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3124
50.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
9916
160.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8307
9.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
8224
9.60 IPS |
|
|
Pose Estimation (Q)
|
96% |
30472
35.7 IPS |
|
|
Object Detection (SP)
|
100% |
2346
186.0 IPS |
|
|
Object Detection (HP)
|
100% |
3928
311.6 IPS |
|
|
Object Detection (Q)
|
88% |
10384
832.4 IPS |
|
|
Face Detection (SP)
|
100% |
9973
118.5 IPS |
|
|
Face Detection (HP)
|
100% |
10389
123.4 IPS |
|
|
Face Detection (Q)
|
100% |
24304
288.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9721
74.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
9769
75.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
26129
203.2 IPS |
|
|
Style Transfer (SP)
|
100% |
24608
31.6 IPS |
|
|
Style Transfer (HP)
|
100% |
25185
32.4 IPS |
|
|
Style Transfer (Q)
|
98% |
87234
112.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5179
191.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5340
197.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16729
619.5 IPS |
|
|
Text Classification (SP)
|
100% |
3938
5.26 KIPS |
|
|
Text Classification (HP)
|
100% |
3986
5.32 KIPS |
|
|
Text Classification (Q)
|
92% |
5432
7.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
5309
91.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5170
89.0 IPS |
|
|
Machine Translation (Q)
|
100% |
5362
92.4 IPS |