Upload Date | January 01 2025 07:35 AM |
Views | 2 |
AI Information | |
---|---|
Framework | ONNX |
Backend | DirectML |
Device | NVIDIA GeForce RTX 4090 |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Pro (64-bit) |
Model | ASUS System Product Name |
Motherboard | ASUSTeK COMPUTER INC. ROG STRIX Z790-E GAMING WIFI |
Power Plan | Balanced |
CPU Information | |
---|---|
Name | Intel Core i7-13700K |
Topology | 1 Processor, 16 Cores, 24 Threads |
Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
Base Frequency | 3.40 GHz |
Cluster 1 | 8 Cores |
Cluster 2 | 8 Cores |
Memory Information | |
---|---|
Size | 32.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
14144
2.63 KIPS |
|
Image Classification (HP)
|
99% |
19187
3.58 KIPS |
|
Image Classification (Q)
|
100% |
11916
2.22 KIPS |
|
Image Segmentation (SP)
|
100% |
21448
347.7 IPS |
|
Image Segmentation (HP)
|
100% |
26034
422.0 IPS |
|
Image Segmentation (Q)
|
98% |
19548
317.9 IPS |
|
Pose Estimation (SP)
|
100% |
310319
362.1 IPS |
|
Pose Estimation (HP)
|
100% |
506663
591.2 IPS |
|
Pose Estimation (Q)
|
96% |
262959
308.1 IPS |
|
Object Detection (SP)
|
100% |
18637
1.48 KIPS |
|
Object Detection (HP)
|
100% |
24539
1.95 KIPS |
|
Object Detection (Q)
|
86% |
15498
1.25 KIPS |
|
Face Detection (SP)
|
100% |
49877
592.7 IPS |
|
Face Detection (HP)
|
100% |
62202
739.1 IPS |
|
Face Detection (Q)
|
97% |
41844
498.9 IPS |
|
Depth Estimation (SP)
|
100% |
90600
698.0 IPS |
|
Depth Estimation (HP)
|
99% |
160123
1.23 KIPS |
|
Depth Estimation (Q)
|
77% |
65844
526.6 IPS |
|
Style Transfer (SP)
|
100% |
561786
722.2 IPS |
|
Style Transfer (HP)
|
100% |
1084059
1.39 KIPS |
|
Style Transfer (Q)
|
98% |
472989
609.9 IPS |
|
Image Super-Resolution (SP)
|
100% |
60623
2.24 KIPS |
|
Image Super-Resolution (HP)
|
100% |
82165
3.03 KIPS |
|
Image Super-Resolution (Q)
|
99% |
44001
1.63 KIPS |
|
Text Classification (SP)
|
100% |
3925
5.24 KIPS |
|
Text Classification (HP)
|
99% |
4953
6.61 KIPS |
|
Text Classification (Q)
|
97% |
2173
2.91 KIPS |
|
Machine Translation (SP)
|
100% |
5055
87.1 IPS |
|
Machine Translation (HP)
|
100% |
4954
85.3 IPS |
|
Machine Translation (Q)
|
70% |
2362
44.3 IPS |