User | rennsport |
Upload Date | March 20 2025 12:39 PM |
Views | 7 |
AI Information | |
---|---|
Framework | ONNX |
Backend | DirectML |
Device | NVIDIA GeForce RTX 4090 Laptop GPU |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Pro (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% |
10116
1.88 KIPS |
|
Image Classification (HP)
|
99% |
16149
3.01 KIPS |
|
Image Classification (Q)
|
100% |
8551
1.59 KIPS |
|
Image Segmentation (SP)
|
100% |
14747
239.1 IPS |
|
Image Segmentation (HP)
|
100% |
18136
294.0 IPS |
|
Image Segmentation (Q)
|
98% |
13804
224.5 IPS |
|
Pose Estimation (SP)
|
100% |
190044
221.7 IPS |
|
Pose Estimation (HP)
|
100% |
368256
429.7 IPS |
|
Pose Estimation (Q)
|
96% |
161833
189.6 IPS |
|
Object Detection (SP)
|
100% |
10134
803.8 IPS |
|
Object Detection (HP)
|
100% |
12710
1.01 KIPS |
|
Object Detection (Q)
|
85% |
10647
856.5 IPS |
|
Face Detection (SP)
|
100% |
32475
385.9 IPS |
|
Face Detection (HP)
|
100% |
37379
444.1 IPS |
|
Face Detection (Q)
|
97% |
28763
343.0 IPS |
|
Depth Estimation (SP)
|
100% |
63799
491.5 IPS |
|
Depth Estimation (HP)
|
99% |
109067
842.6 IPS |
|
Depth Estimation (Q)
|
78% |
49833
398.0 IPS |
|
Style Transfer (SP)
|
100% |
305261
392.4 IPS |
|
Style Transfer (HP)
|
100% |
700305
900.3 IPS |
|
Style Transfer (Q)
|
98% |
268586
346.3 IPS |
|
Image Super-Resolution (SP)
|
100% |
45936
1.70 KIPS |
|
Image Super-Resolution (HP)
|
100% |
62749
2.32 KIPS |
|
Image Super-Resolution (Q)
|
99% |
32804
1.21 KIPS |
|
Text Classification (SP)
|
100% |
3553
4.74 KIPS |
|
Text Classification (HP)
|
99% |
4429
5.91 KIPS |
|
Text Classification (Q)
|
97% |
1885
2.53 KIPS |
|
Machine Translation (SP)
|
100% |
3598
62.0 IPS |
|
Machine Translation (HP)
|
100% |
3560
61.3 IPS |
|
Machine Translation (Q)
|
70% |
1870
35.1 IPS |