| User | raaphor |
| Upload Date | February 05 2025 11:24 AM |
| Views | 13 |
| 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. 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% |
4177
776.8 IPS |
|
|
Image Classification (HP)
|
100% |
6303
1.17 KIPS |
|
|
Image Classification (Q)
|
100% |
8185
1.52 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4710
76.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9185
148.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
12629
204.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
12246
14.3 IPS |
|
|
Pose Estimation (HP)
|
99% |
11496
13.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
33979
39.8 IPS |
|
|
Object Detection (SP)
|
100% |
3896
309.0 IPS |
|
|
Object Detection (HP)
|
100% |
6031
478.4 IPS |
|
|
Object Detection (Q)
|
88% |
9401
753.4 IPS |
|
|
Face Detection (SP)
|
100% |
9950
118.2 IPS |
|
|
Face Detection (HP)
|
100% |
18431
219.0 IPS |
|
|
Face Detection (Q)
|
100% |
26711
317.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
13575
104.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
23635
182.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
26187
203.5 IPS |
|
|
Style Transfer (SP)
|
100% |
30551
39.3 IPS |
|
|
Style Transfer (HP)
|
100% |
43470
55.9 IPS |
|
|
Style Transfer (Q)
|
98% |
83919
108.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5443
201.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9703
358.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15283
566.0 IPS |
|
|
Text Classification (SP)
|
71% |
1768
2.56 KIPS |
|
|
Text Classification (HP)
|
71% |
2516
3.64 KIPS |
|
|
Text Classification (Q)
|
92% |
2897
3.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
2282
39.3 IPS |
|
|
Machine Translation (HP)
|
96% |
3169
54.8 IPS |
|
|
Machine Translation (Q)
|
100% |
3153
54.3 IPS |