| User | Sarg3v3 |
| Upload Date | April 12 2026 08:55 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 | Notebook X370SNx1 |
| Motherboard | Notebook X370SNx1 |
| Power Plan | Razer Cortex Power Plan |
| 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 | 96.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10094
1.88 KIPS |
|
|
Image Classification (HP)
|
99% |
15101
2.82 KIPS |
|
|
Image Classification (Q)
|
100% |
8834
1.64 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17469
283.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
22266
361.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
15922
258.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
190333
222.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
428484
500.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
180778
211.8 IPS |
|
|
Object Detection (SP)
|
100% |
12964
1.03 KIPS |
|
|
Object Detection (HP)
|
100% |
18239
1.45 KIPS |
|
|
Object Detection (Q)
|
85% |
11110
893.7 IPS |
|
|
Face Detection (SP)
|
100% |
37979
451.3 IPS |
|
|
Face Detection (HP)
|
100% |
49531
588.5 IPS |
|
|
Face Detection (Q)
|
97% |
32536
388.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
68263
525.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
126789
979.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
51429
410.7 IPS |
|
|
Style Transfer (SP)
|
100% |
310846
399.6 IPS |
|
|
Style Transfer (HP)
|
100% |
724092
930.8 IPS |
|
|
Style Transfer (Q)
|
98% |
268340
346.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
44790
1.65 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
61260
2.26 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33801
1.25 KIPS |
|
|
Text Classification (SP)
|
100% |
3187
4.25 KIPS |
|
|
Text Classification (HP)
|
100% |
4022
5.37 KIPS |
|
|
Text Classification (Q)
|
97% |
1807
2.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
4372
75.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4374
75.3 IPS |
|
|
Machine Translation (Q)
|
70% |
2141
40.2 IPS |