| User | fabiolondon |
| Upload Date | August 17 2024 01:33 PM |
| Views | 11 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-14700KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B760 GAMING X AX |
| Motherboard | Gigabyte Technology Co., Ltd. B760 GAMING X AX |
| Power Plan | High performance |
| 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 | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4499
836.6 IPS |
|
|
Image Classification (HP)
|
100% |
4493
835.6 IPS |
|
|
Image Classification (Q)
|
100% |
9110
1.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5212
84.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
5241
85.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
8977
145.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8908
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
8921
10.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
32379
37.9 IPS |
|
|
Object Detection (SP)
|
100% |
4273
338.9 IPS |
|
|
Object Detection (HP)
|
100% |
4287
340.1 IPS |
|
|
Object Detection (Q)
|
88% |
9772
783.4 IPS |
|
|
Face Detection (SP)
|
100% |
13038
154.9 IPS |
|
|
Face Detection (HP)
|
100% |
13107
155.7 IPS |
|
|
Face Detection (Q)
|
100% |
24820
294.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
11453
88.2 IPS |
|
|
Depth Estimation (HP)
|
100% |
11518
88.7 IPS |
|
|
Depth Estimation (Q)
|
80% |
27270
216.1 IPS |
|
|
Style Transfer (SP)
|
100% |
26662
34.3 IPS |
|
|
Style Transfer (HP)
|
100% |
26809
34.5 IPS |
|
|
Style Transfer (Q)
|
98% |
90305
116.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5581
206.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5581
206.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16470
609.9 IPS |
|
|
Text Classification (SP)
|
100% |
1688
2.25 KIPS |
|
|
Text Classification (HP)
|
100% |
1652
2.21 KIPS |
|
|
Text Classification (Q)
|
92% |
4470
6.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
5066
87.3 IPS |
|
|
Machine Translation (HP)
|
100% |
5097
87.8 IPS |
|
|
Machine Translation (Q)
|
85% |
6018
105.3 IPS |