| Upload Date | November 08 2025 02:16 PM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 265K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z890 AORUS PRO ICE |
| Motherboard | Gigabyte Technology Co., Ltd. Z890 AORUS PRO ICE |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 265K |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4794
891.5 IPS |
|
|
Image Classification (HP)
|
100% |
762
141.6 IPS |
|
|
Image Classification (Q)
|
99% |
9259
1.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2730
44.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1169
19.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
15290
248.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
12690
14.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
7525
8.78 IPS |
|
|
Pose Estimation (Q)
|
94% |
40469
47.4 IPS |
|
|
Object Detection (SP)
|
100% |
4429
351.3 IPS |
|
|
Object Detection (HP)
|
100% |
898
71.2 IPS |
|
|
Object Detection (Q)
|
86% |
10705
860.4 IPS |
|
|
Face Detection (SP)
|
100% |
13297
158.0 IPS |
|
|
Face Detection (HP)
|
100% |
2035
24.2 IPS |
|
|
Face Detection (Q)
|
97% |
13181
157.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
13066
100.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3447
26.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
20984
167.4 IPS |
|
|
Style Transfer (SP)
|
100% |
26952
34.6 IPS |
|
|
Style Transfer (HP)
|
100% |
19104
24.6 IPS |
|
|
Style Transfer (Q)
|
98% |
23314
30.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3733
137.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2877
106.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5107
189.1 IPS |
|
|
Text Classification (SP)
|
100% |
1839
2.46 KIPS |
|
|
Text Classification (HP)
|
100% |
936
1.25 KIPS |
|
|
Text Classification (Q)
|
97% |
1502
2.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
2909
50.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1378
23.7 IPS |
|
|
Machine Translation (Q)
|
65% |
3912
78.6 IPS |