| User | m0rpwr |
| Upload Date | May 10 2025 12:27 AM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-14900HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Hasee Computer QNLYS Series |
| Motherboard | Hasee Computer QNLYS Series |
| Power Plan | Gaming |
| 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 | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3416
635.2 IPS |
|
|
Image Classification (HP)
|
100% |
503
93.5 IPS |
|
|
Image Classification (Q)
|
99% |
6028
1.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1920
31.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
824
13.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3584
58.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9156
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
4122
4.81 IPS |
|
|
Pose Estimation (Q)
|
94% |
25909
30.4 IPS |
|
|
Object Detection (SP)
|
100% |
3070
243.5 IPS |
|
|
Object Detection (HP)
|
100% |
524
41.6 IPS |
|
|
Object Detection (Q)
|
86% |
6114
491.4 IPS |
|
|
Face Detection (SP)
|
100% |
10042
119.3 IPS |
|
|
Face Detection (HP)
|
100% |
1284
15.3 IPS |
|
|
Face Detection (Q)
|
97% |
9788
116.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
10164
78.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1421
10.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
14722
117.5 IPS |
|
|
Style Transfer (SP)
|
100% |
20005
25.7 IPS |
|
|
Style Transfer (HP)
|
100% |
8581
11.0 IPS |
|
|
Style Transfer (Q)
|
98% |
19686
25.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2723
100.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1753
64.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3923
145.3 IPS |
|
|
Text Classification (SP)
|
100% |
1302
1.74 KIPS |
|
|
Text Classification (HP)
|
100% |
738
985.2 IPS |
|
|
Text Classification (Q)
|
97% |
1423
1.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
1856
32.0 IPS |
|
|
Machine Translation (HP)
|
100% |
556
9.58 IPS |
|
|
Machine Translation (Q)
|
65% |
2960
59.5 IPS |