| User | arabus |
| Upload Date | December 19 2024 10:35 AM |
| Views | 9 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z890M GAMING X |
| Motherboard | Gigabyte Technology Co., Ltd. Z890M GAMING X |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 245K |
| Topology | 1 Processor, 14 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4346
808.2 IPS |
|
|
Image Classification (HP)
|
100% |
6407
1.19 KIPS |
|
|
Image Classification (Q)
|
100% |
8491
1.58 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3229
52.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
7923
128.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
12194
197.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
17298
20.2 IPS |
|
|
Pose Estimation (HP)
|
99% |
16036
18.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
49514
58.0 IPS |
|
|
Object Detection (SP)
|
100% |
3943
312.8 IPS |
|
|
Object Detection (HP)
|
100% |
5613
445.2 IPS |
|
|
Object Detection (Q)
|
88% |
9808
786.0 IPS |
|
|
Face Detection (SP)
|
100% |
6559
77.9 IPS |
|
|
Face Detection (HP)
|
100% |
13114
155.8 IPS |
|
|
Face Detection (Q)
|
100% |
23669
281.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
14622
112.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
24874
192.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
32140
249.8 IPS |
|
|
Style Transfer (SP)
|
100% |
39321
50.5 IPS |
|
|
Style Transfer (HP)
|
100% |
52791
67.9 IPS |
|
|
Style Transfer (Q)
|
98% |
114185
147.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6811
251.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10461
386.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19525
723.1 IPS |
|
|
Text Classification (SP)
|
71% |
2006
2.90 KIPS |
|
|
Text Classification (HP)
|
71% |
2812
4.07 KIPS |
|
|
Text Classification (Q)
|
92% |
3119
4.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
2194
37.8 IPS |
|
|
Machine Translation (HP)
|
96% |
3052
52.8 IPS |
|
|
Machine Translation (Q)
|
100% |
3027
52.1 IPS |