| Upload Date | November 10 2025 01:51 PM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 225F |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z890M AORUS ELITE WIFI7 |
| Motherboard | Gigabyte Technology Co., Ltd. Z890M AORUS ELITE WIFI7 |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 225F |
| Topology | 1 Processor, 10 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2449
455.5 IPS |
|
|
Image Classification (HP)
|
100% |
457
85.0 IPS |
|
|
Image Classification (Q)
|
99% |
5546
1.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1404
22.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
959
15.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
6922
112.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4628
5.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
3407
3.98 IPS |
|
|
Pose Estimation (Q)
|
94% |
16967
19.9 IPS |
|
|
Object Detection (SP)
|
100% |
1373
108.9 IPS |
|
|
Object Detection (HP)
|
100% |
571
45.3 IPS |
|
|
Object Detection (Q)
|
86% |
5643
453.5 IPS |
|
|
Face Detection (SP)
|
100% |
5641
67.0 IPS |
|
|
Face Detection (HP)
|
100% |
1444
17.2 IPS |
|
|
Face Detection (Q)
|
97% |
6936
82.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4394
33.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1649
12.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
10881
86.8 IPS |
|
|
Style Transfer (SP)
|
100% |
11267
14.5 IPS |
|
|
Style Transfer (HP)
|
100% |
8119
10.4 IPS |
|
|
Style Transfer (Q)
|
98% |
17073
22.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2111
77.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1619
59.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4521
167.4 IPS |
|
|
Text Classification (SP)
|
100% |
1406
1.88 KIPS |
|
|
Text Classification (HP)
|
100% |
640
854.4 IPS |
|
|
Text Classification (Q)
|
97% |
1329
1.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
1615
27.8 IPS |
|
|
Machine Translation (HP)
|
100% |
807
13.9 IPS |
|
|
Machine Translation (Q)
|
65% |
2510
50.4 IPS |