| Upload Date | November 06 2025 10:14 PM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-14900HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 83G0 |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| 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% |
2895
538.3 IPS |
|
|
Image Classification (HP)
|
100% |
371
69.0 IPS |
|
|
Image Classification (Q)
|
99% |
4569
852.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1297
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
651
10.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
8231
133.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7661
8.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
3377
3.94 IPS |
|
|
Pose Estimation (Q)
|
94% |
22062
25.9 IPS |
|
|
Object Detection (SP)
|
100% |
2832
224.6 IPS |
|
|
Object Detection (HP)
|
100% |
496
39.3 IPS |
|
|
Object Detection (Q)
|
86% |
4666
375.0 IPS |
|
|
Face Detection (SP)
|
100% |
8788
104.4 IPS |
|
|
Face Detection (HP)
|
100% |
1143
13.6 IPS |
|
|
Face Detection (Q)
|
97% |
7098
84.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8512
65.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1466
11.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
12111
96.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16935
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
8252
10.6 IPS |
|
|
Style Transfer (Q)
|
98% |
21919
28.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2468
91.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1425
52.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3771
139.7 IPS |
|
|
Text Classification (SP)
|
100% |
1031
1.38 KIPS |
|
|
Text Classification (HP)
|
100% |
480
640.7 IPS |
|
|
Text Classification (Q)
|
97% |
920
1.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
1337
23.0 IPS |
|
|
Machine Translation (HP)
|
100% |
618
10.7 IPS |
|
|
Machine Translation (Q)
|
65% |
2195
44.1 IPS |