| User | gethen |
| Upload Date | August 03 2025 02:43 PM |
| Views | 11 |
| 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 | Micro-Star International Co., Ltd. MS-7E42 |
| Motherboard | Micro-Star International Co., Ltd. B860M GAMING PLUS WIFI (MS-7E42) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) 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 | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4983
926.7 IPS |
|
|
Image Classification (HP)
|
100% |
817
152.0 IPS |
|
|
Image Classification (Q)
|
99% |
9845
1.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2548
41.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1540
25.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
4425
72.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
14255
16.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
7903
9.22 IPS |
|
|
Pose Estimation (Q)
|
94% |
48115
56.4 IPS |
|
|
Object Detection (SP)
|
100% |
4543
360.3 IPS |
|
|
Object Detection (HP)
|
100% |
866
68.7 IPS |
|
|
Object Detection (Q)
|
86% |
11612
933.2 IPS |
|
|
Face Detection (SP)
|
100% |
13218
157.1 IPS |
|
|
Face Detection (HP)
|
100% |
2604
30.9 IPS |
|
|
Face Detection (Q)
|
97% |
13769
164.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
15785
121.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2906
22.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
23524
187.7 IPS |
|
|
Style Transfer (SP)
|
100% |
30212
38.8 IPS |
|
|
Style Transfer (HP)
|
100% |
20814
26.8 IPS |
|
|
Style Transfer (Q)
|
98% |
32970
42.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5037
186.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3377
124.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6825
252.7 IPS |
|
|
Text Classification (SP)
|
100% |
2080
2.78 KIPS |
|
|
Text Classification (HP)
|
100% |
1012
1.35 KIPS |
|
|
Text Classification (Q)
|
97% |
1904
2.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
3184
54.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1128
19.4 IPS |
|
|
Machine Translation (Q)
|
65% |
4900
98.5 IPS |