Upload Date | July 01 2025 07:58 AM |
Views | 2 |
AI Information | |
---|---|
Framework | ONNX |
Backend | DirectML |
Device | NVIDIA GeForce RTX 4090 Laptop GPU |
System Information | |
---|---|
Operating System | Microsoft Windows 11 (64-bit) |
Model | ASUSTeK COMPUTER INC. ROG Strix SCAR 18 G834JYR_G834JYR |
Motherboard | ASUSTeK COMPUTER INC. G834JYR |
Power Plan | Turbo |
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% |
9383
1.74 KIPS |
|
Image Classification (HP)
|
99% |
14287
2.66 KIPS |
|
Image Classification (Q)
|
100% |
8547
1.59 KIPS |
|
Image Segmentation (SP)
|
100% |
17151
278.0 IPS |
|
Image Segmentation (HP)
|
100% |
21622
350.5 IPS |
|
Image Segmentation (Q)
|
98% |
15826
257.3 IPS |
|
Pose Estimation (SP)
|
100% |
185881
216.9 IPS |
|
Pose Estimation (HP)
|
100% |
406880
474.8 IPS |
|
Pose Estimation (Q)
|
96% |
163389
191.4 IPS |
|
Object Detection (SP)
|
100% |
12477
989.7 IPS |
|
Object Detection (HP)
|
100% |
16792
1.33 KIPS |
|
Object Detection (Q)
|
85% |
10486
843.5 IPS |
|
Face Detection (SP)
|
100% |
36605
434.9 IPS |
|
Face Detection (HP)
|
100% |
45239
537.5 IPS |
|
Face Detection (Q)
|
97% |
31664
377.6 IPS |
|
Depth Estimation (SP)
|
100% |
65611
505.5 IPS |
|
Depth Estimation (HP)
|
99% |
118961
919.1 IPS |
|
Depth Estimation (Q)
|
78% |
51079
407.9 IPS |
|
Style Transfer (SP)
|
100% |
300173
385.9 IPS |
|
Style Transfer (HP)
|
100% |
651949
838.1 IPS |
|
Style Transfer (Q)
|
98% |
259495
334.6 IPS |
|
Image Super-Resolution (SP)
|
100% |
41048
1.52 KIPS |
|
Image Super-Resolution (HP)
|
100% |
57032
2.11 KIPS |
|
Image Super-Resolution (Q)
|
99% |
31274
1.16 KIPS |
|
Text Classification (SP)
|
100% |
3203
4.28 KIPS |
|
Text Classification (HP)
|
99% |
3924
5.24 KIPS |
|
Text Classification (Q)
|
97% |
1713
2.30 KIPS |
|
Machine Translation (SP)
|
100% |
4224
72.8 IPS |
|
Machine Translation (HP)
|
100% |
4152
71.5 IPS |
|
Machine Translation (Q)
|
70% |
2150
40.3 IPS |