| User | arabus |
| Upload Date | December 22 2024 08:11 AM |
| Views | 10 |
| 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% |
5635
1.05 KIPS |
|
|
Image Classification (HP)
|
100% |
8060
1.50 KIPS |
|
|
Image Classification (Q)
|
100% |
10537
1.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5571
90.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
11398
184.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
16047
260.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
18121
21.1 IPS |
|
|
Pose Estimation (HP)
|
99% |
16949
19.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
50759
59.4 IPS |
|
|
Object Detection (SP)
|
100% |
5120
406.1 IPS |
|
|
Object Detection (HP)
|
100% |
7081
561.7 IPS |
|
|
Object Detection (Q)
|
88% |
12375
991.7 IPS |
|
|
Face Detection (SP)
|
100% |
11207
133.2 IPS |
|
|
Face Detection (HP)
|
100% |
20648
245.3 IPS |
|
|
Face Detection (Q)
|
100% |
32457
385.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
18580
143.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
31289
241.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
36961
287.3 IPS |
|
|
Style Transfer (SP)
|
100% |
45027
57.9 IPS |
|
|
Style Transfer (HP)
|
100% |
61657
79.3 IPS |
|
|
Style Transfer (Q)
|
98% |
123484
159.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7755
286.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11661
430.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21558
798.4 IPS |
|
|
Text Classification (SP)
|
71% |
2435
3.52 KIPS |
|
|
Text Classification (HP)
|
71% |
3141
4.54 KIPS |
|
|
Text Classification (Q)
|
92% |
3390
4.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
2861
49.3 IPS |
|
|
Machine Translation (HP)
|
96% |
3776
65.3 IPS |
|
|
Machine Translation (Q)
|
100% |
3792
65.3 IPS |