| User | TuanAnhDT |
| Upload Date | November 22 2025 03:01 AM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 245K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z890 AORUS ELITE WIFI7 |
| Motherboard | Gigabyte Technology Co., Ltd. Z890 AORUS ELITE WIFI7 |
| Power Plan | Balanced |
| 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 | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4318
803.0 IPS |
|
|
Image Classification (HP)
|
100% |
846
157.3 IPS |
|
|
Image Classification (Q)
|
99% |
9065
1.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2294
37.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1483
24.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
13719
223.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10515
12.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
7042
8.22 IPS |
|
|
Pose Estimation (Q)
|
94% |
35419
41.5 IPS |
|
|
Object Detection (SP)
|
100% |
4009
318.0 IPS |
|
|
Object Detection (HP)
|
100% |
992
78.7 IPS |
|
|
Object Detection (Q)
|
86% |
10088
810.7 IPS |
|
|
Face Detection (SP)
|
100% |
11458
136.2 IPS |
|
|
Face Detection (HP)
|
100% |
2519
29.9 IPS |
|
|
Face Detection (Q)
|
97% |
12752
152.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
11897
91.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3310
25.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
22732
181.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21962
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
15989
20.6 IPS |
|
|
Style Transfer (Q)
|
98% |
29799
38.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4083
150.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2908
107.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7322
271.1 IPS |
|
|
Text Classification (SP)
|
100% |
2075
2.77 KIPS |
|
|
Text Classification (HP)
|
100% |
1011
1.35 KIPS |
|
|
Text Classification (Q)
|
97% |
1811
2.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
3002
51.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1440
24.8 IPS |
|
|
Machine Translation (Q)
|
65% |
4604
92.5 IPS |