| Upload Date | November 11 2025 08:57 AM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-14900HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Hasee Computer HBN6S Series |
| Motherboard | Hasee Computer HBN6S Series |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900HX |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4200
781.0 IPS |
|
|
Image Classification (HP)
|
100% |
515
95.8 IPS |
|
|
Image Classification (Q)
|
99% |
6481
1.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2026
32.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1085
17.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
11440
186.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10197
11.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
4279
4.99 IPS |
|
|
Pose Estimation (Q)
|
94% |
29182
34.2 IPS |
|
|
Object Detection (SP)
|
100% |
3614
286.7 IPS |
|
|
Object Detection (HP)
|
100% |
691
54.8 IPS |
|
|
Object Detection (Q)
|
86% |
7219
580.1 IPS |
|
|
Face Detection (SP)
|
100% |
10879
129.3 IPS |
|
|
Face Detection (HP)
|
100% |
1567
18.6 IPS |
|
|
Face Detection (Q)
|
97% |
10592
126.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
10904
84.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1968
15.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
16658
132.9 IPS |
|
|
Style Transfer (SP)
|
100% |
22480
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
10384
13.3 IPS |
|
|
Style Transfer (Q)
|
98% |
21351
27.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3436
126.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1901
70.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5571
206.3 IPS |
|
|
Text Classification (SP)
|
100% |
1373
1.83 KIPS |
|
|
Text Classification (HP)
|
100% |
646
862.4 IPS |
|
|
Text Classification (Q)
|
97% |
1380
1.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
2086
35.9 IPS |
|
|
Machine Translation (HP)
|
100% |
930
16.0 IPS |
|
|
Machine Translation (Q)
|
65% |
3289
66.1 IPS |