| Upload Date | November 16 2025 10:42 PM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. Titan 18 HX A14VIG |
| Motherboard | Micro-Star International Co., Ltd. MS-1822 |
| Power Plan | Zrwnowaony |
| 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% |
9262
1.72 KIPS |
|
|
Image Classification (HP)
|
99% |
14592
2.72 KIPS |
|
|
Image Classification (Q)
|
100% |
8712
1.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17263
279.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
22071
357.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
16017
260.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
176995
206.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
412465
481.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
154710
181.3 IPS |
|
|
Object Detection (SP)
|
100% |
12654
1.00 KIPS |
|
|
Object Detection (HP)
|
100% |
18719
1.48 KIPS |
|
|
Object Detection (Q)
|
85% |
11454
921.4 IPS |
|
|
Face Detection (SP)
|
100% |
39628
470.9 IPS |
|
|
Face Detection (HP)
|
100% |
48893
581.0 IPS |
|
|
Face Detection (Q)
|
97% |
32717
390.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
66525
512.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
119082
920.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
50094
400.0 IPS |
|
|
Style Transfer (SP)
|
100% |
296443
381.1 IPS |
|
|
Style Transfer (HP)
|
100% |
699109
898.7 IPS |
|
|
Style Transfer (Q)
|
98% |
259863
335.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
41965
1.55 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
57843
2.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33681
1.25 KIPS |
|
|
Text Classification (SP)
|
100% |
3155
4.21 KIPS |
|
|
Text Classification (HP)
|
99% |
3914
5.22 KIPS |
|
|
Text Classification (Q)
|
97% |
1672
2.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
4428
76.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4309
74.2 IPS |
|
|
Machine Translation (Q)
|
70% |
2119
39.7 IPS |