| User | Bustycat |
| Upload Date | August 16 2024 01:41 PM |
| Views | 10 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-9600K CPU @ 3.70GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z370 AORUS Gaming 3 |
| Motherboard | Gigabyte Technology Co., Ltd. Z370 AORUS Gaming 3 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-9600K |
| Topology | 1 Processor, 6 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 12 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2271
422.3 IPS |
|
|
Image Classification (HP)
|
100% |
2235
415.6 IPS |
|
|
Image Classification (Q)
|
100% |
3373
627.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1952
31.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1943
31.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3467
56.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4723
5.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
4167
4.86 IPS |
|
|
Pose Estimation (Q)
|
94% |
9032
10.6 IPS |
|
|
Object Detection (SP)
|
100% |
2101
166.7 IPS |
|
|
Object Detection (HP)
|
100% |
2147
170.3 IPS |
|
|
Object Detection (Q)
|
87% |
3540
283.9 IPS |
|
|
Face Detection (SP)
|
100% |
3864
45.9 IPS |
|
|
Face Detection (HP)
|
100% |
3754
44.6 IPS |
|
|
Face Detection (Q)
|
97% |
9239
110.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5817
44.8 IPS |
|
|
Depth Estimation (HP)
|
100% |
5831
44.9 IPS |
|
|
Depth Estimation (Q)
|
79% |
9809
77.8 IPS |
|
|
Style Transfer (SP)
|
100% |
13760
17.7 IPS |
|
|
Style Transfer (HP)
|
100% |
13838
17.8 IPS |
|
|
Style Transfer (Q)
|
98% |
26103
33.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2769
102.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2849
105.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5394
199.8 IPS |
|
|
Text Classification (SP)
|
100% |
1803
2.41 KIPS |
|
|
Text Classification (HP)
|
100% |
1864
2.49 KIPS |
|
|
Text Classification (Q)
|
91% |
1198
1.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
2999
51.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2930
50.5 IPS |
|
|
Machine Translation (Q)
|
90% |
2193
38.1 IPS |