| User | arabus |
| Upload Date | December 22 2024 08:09 AM |
| Views | 16 |
| 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% |
5620
1.05 KIPS |
|
|
Image Classification (HP)
|
100% |
8035
1.49 KIPS |
|
|
Image Classification (Q)
|
100% |
10574
1.97 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5572
90.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
11370
184.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
15981
259.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
18119
21.1 IPS |
|
|
Pose Estimation (HP)
|
99% |
16948
19.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
50463
59.1 IPS |
|
|
Object Detection (SP)
|
100% |
5177
410.6 IPS |
|
|
Object Detection (HP)
|
100% |
7105
563.6 IPS |
|
|
Object Detection (Q)
|
88% |
12353
989.9 IPS |
|
|
Face Detection (SP)
|
100% |
11245
133.6 IPS |
|
|
Face Detection (HP)
|
100% |
20391
242.3 IPS |
|
|
Face Detection (Q)
|
100% |
32811
389.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
18716
144.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
31263
241.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
36954
287.2 IPS |
|
|
Style Transfer (SP)
|
100% |
44999
57.8 IPS |
|
|
Style Transfer (HP)
|
100% |
61462
79.0 IPS |
|
|
Style Transfer (Q)
|
98% |
123498
159.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7738
285.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11605
428.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21642
801.5 IPS |
|
|
Text Classification (SP)
|
71% |
2466
3.57 KIPS |
|
|
Text Classification (HP)
|
71% |
3099
4.48 KIPS |
|
|
Text Classification (Q)
|
92% |
3433
4.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
2861
49.3 IPS |
|
|
Machine Translation (HP)
|
96% |
3790
65.5 IPS |
|
|
Machine Translation (Q)
|
100% |
3776
65.0 IPS |