| User | arabus |
| Upload Date | December 20 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% |
5690
1.06 KIPS |
|
|
Image Classification (HP)
|
100% |
8154
1.52 KIPS |
|
|
Image Classification (Q)
|
100% |
10861
2.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5572
90.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
11400
184.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
16158
261.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
18117
21.1 IPS |
|
|
Pose Estimation (HP)
|
99% |
16945
19.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
50774
59.4 IPS |
|
|
Object Detection (SP)
|
100% |
5202
412.6 IPS |
|
|
Object Detection (HP)
|
100% |
7109
563.9 IPS |
|
|
Object Detection (Q)
|
88% |
12372
991.5 IPS |
|
|
Face Detection (SP)
|
100% |
11436
135.9 IPS |
|
|
Face Detection (HP)
|
100% |
20913
248.5 IPS |
|
|
Face Detection (Q)
|
100% |
33729
400.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
18764
144.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
31325
242.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
37133
288.6 IPS |
|
|
Style Transfer (SP)
|
100% |
44888
57.7 IPS |
|
|
Style Transfer (HP)
|
100% |
61666
79.3 IPS |
|
|
Style Transfer (Q)
|
98% |
123507
159.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7769
286.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11697
431.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21704
803.8 IPS |
|
|
Text Classification (SP)
|
71% |
2505
3.62 KIPS |
|
|
Text Classification (HP)
|
71% |
3312
4.79 KIPS |
|
|
Text Classification (Q)
|
92% |
3683
4.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
2921
50.3 IPS |
|
|
Machine Translation (HP)
|
96% |
3973
68.7 IPS |
|
|
Machine Translation (Q)
|
100% |
3975
68.5 IPS |