| User | berrob14 |
| Upload Date | February 12 2025 04:38 PM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-4790K CPU @ 4.00GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z97-D3H |
| Motherboard | Gigabyte Technology Co., Ltd. Z97-D3H-CF |
| Power Plan | Hchstleistung |
| CPU Information | |
|---|---|
| Name | Intel Core i7-4790K |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 4.00 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
995
185.0 IPS |
|
|
Image Classification (HP)
|
100% |
1291
240.0 IPS |
|
|
Image Classification (Q)
|
100% |
1485
276.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1098
17.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1334
21.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
1844
30.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1314
1.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
1458
1.70 IPS |
|
|
Pose Estimation (Q)
|
94% |
2930
3.44 IPS |
|
|
Object Detection (SP)
|
100% |
1022
81.0 IPS |
|
|
Object Detection (HP)
|
100% |
1065
84.5 IPS |
|
|
Object Detection (Q)
|
87% |
1703
136.6 IPS |
|
|
Face Detection (SP)
|
100% |
2988
35.5 IPS |
|
|
Face Detection (HP)
|
100% |
2414
28.7 IPS |
|
|
Face Detection (Q)
|
97% |
4639
55.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2098
16.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1962
15.1 IPS |
|
|
Depth Estimation (Q)
|
81% |
4314
34.1 IPS |
|
|
Style Transfer (SP)
|
100% |
4338
5.58 IPS |
|
|
Style Transfer (HP)
|
100% |
5179
6.66 IPS |
|
|
Style Transfer (Q)
|
98% |
9703
12.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
855
31.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1228
45.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2178
80.7 IPS |
|
|
Text Classification (SP)
|
100% |
1827
2.44 KIPS |
|
|
Text Classification (HP)
|
100% |
1516
2.02 KIPS |
|
|
Text Classification (Q)
|
91% |
1147
1.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
2097
36.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1867
32.2 IPS |
|
|
Machine Translation (Q)
|
100% |
2061
35.5 IPS |