| Upload Date | June 21 2025 01:07 AM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) A770 Graphics (dGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | INTEL Default string |
| Motherboard | W680PM |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700KF |
| 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 | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5511
1.02 KIPS |
|
|
Image Classification (HP)
|
100% |
8243
1.53 KIPS |
|
|
Image Classification (Q)
|
100% |
8360
1.55 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11500
186.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
14637
237.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
14875
241.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
72884
85.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
196380
229.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
296128
346.7 IPS |
|
|
Object Detection (SP)
|
100% |
5032
399.2 IPS |
|
|
Object Detection (HP)
|
100% |
9596
761.1 IPS |
|
|
Object Detection (Q)
|
88% |
9578
767.6 IPS |
|
|
Face Detection (SP)
|
100% |
20218
240.2 IPS |
|
|
Face Detection (HP)
|
100% |
26910
319.7 IPS |
|
|
Face Detection (Q)
|
100% |
27496
326.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
25221
194.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
57355
441.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
57990
450.8 IPS |
|
|
Style Transfer (SP)
|
100% |
188013
241.7 IPS |
|
|
Style Transfer (HP)
|
100% |
288767
371.2 IPS |
|
|
Style Transfer (Q)
|
98% |
356061
459.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
18433
680.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26408
975.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
26934
997.4 IPS |
|
|
Text Classification (SP)
|
100% |
1983
2.65 KIPS |
|
|
Text Classification (HP)
|
100% |
1689
2.25 KIPS |
|
|
Text Classification (Q)
|
92% |
1258
1.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
1613
27.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2146
37.0 IPS |
|
|
Machine Translation (Q)
|
100% |
2154
37.1 IPS |