| User | raaphor |
| Upload Date | February 05 2025 11:26 AM |
| Views | 13 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z890 AORUS ELITE X ICE |
| Motherboard | Gigabyte Technology Co., Ltd. Z890 AORUS ELITE X ICE |
| Power Plan | Hoge prestaties |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 285K |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6176
1.15 KIPS |
|
|
Image Classification (HP)
|
100% |
6766
1.26 KIPS |
|
|
Image Classification (Q)
|
56% |
6020
1.68 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8122
131.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2776
45.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3662
59.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
16768
19.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
34036
39.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
73316
85.9 IPS |
|
|
Object Detection (SP)
|
100% |
5889
467.1 IPS |
|
|
Object Detection (HP)
|
100% |
5486
435.1 IPS |
|
|
Object Detection (Q)
|
87% |
8793
705.7 IPS |
|
|
Face Detection (SP)
|
100% |
17026
202.3 IPS |
|
|
Face Detection (HP)
|
100% |
16372
194.5 IPS |
|
|
Face Detection (Q)
|
100% |
26219
311.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
16519
127.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
19828
152.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
35845
278.9 IPS |
|
|
Style Transfer (SP)
|
100% |
46790
60.1 IPS |
|
|
Style Transfer (HP)
|
100% |
54591
70.2 IPS |
|
|
Style Transfer (Q)
|
98% |
99331
128.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9671
357.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13717
506.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23565
872.7 IPS |
|
|
Text Classification (SP)
|
100% |
4106
5.48 KIPS |
|
|
Text Classification (HP)
|
100% |
2198
2.93 KIPS |
|
|
Text Classification (Q)
|
92% |
2275
3.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
3659
63.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3479
59.9 IPS |
|
|
Machine Translation (Q)
|
100% |
3507
60.4 IPS |