User | rafaeldelrey |
Upload Date | August 27 2025 02:55 AM |
Views | 9 |
AI Information | |
---|---|
Framework | ONNX |
Backend | DirectML |
Device | NVIDIA GeForce RTX 4090 |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Pro (64-bit) |
Model | Gigabyte Technology Co., Ltd. Z790 AORUS ELITE AX |
Motherboard | Gigabyte Technology Co., Ltd. Z790 AORUS ELITE AX |
Power Plan | High performance |
CPU Information | |
---|---|
Name | Intel Core i9-13900K |
Topology | 1 Processor, 24 Cores, 32 Threads |
Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
Base Frequency | 3.00 GHz |
Cluster 1 | 8 Cores |
Cluster 2 | 16 Cores |
Memory Information | |
---|---|
Size | 128.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
13411
2.49 KIPS |
|
Image Classification (HP)
|
99% |
17742
3.31 KIPS |
|
Image Classification (Q)
|
100% |
11448
2.13 KIPS |
|
Image Segmentation (SP)
|
100% |
24834
402.6 IPS |
|
Image Segmentation (HP)
|
100% |
31408
509.2 IPS |
|
Image Segmentation (Q)
|
98% |
23028
374.5 IPS |
|
Pose Estimation (SP)
|
100% |
312201
364.3 IPS |
|
Pose Estimation (HP)
|
100% |
566932
661.5 IPS |
|
Pose Estimation (Q)
|
96% |
269635
315.9 IPS |
|
Object Detection (SP)
|
100% |
18346
1.46 KIPS |
|
Object Detection (HP)
|
100% |
23494
1.86 KIPS |
|
Object Detection (Q)
|
86% |
15396
1.24 KIPS |
|
Face Detection (SP)
|
100% |
53494
635.6 IPS |
|
Face Detection (HP)
|
100% |
66791
793.6 IPS |
|
Face Detection (Q)
|
97% |
45743
545.4 IPS |
|
Depth Estimation (SP)
|
100% |
98734
760.7 IPS |
|
Depth Estimation (HP)
|
99% |
159406
1.23 KIPS |
|
Depth Estimation (Q)
|
77% |
72889
583.0 IPS |
|
Style Transfer (SP)
|
100% |
563474
724.4 IPS |
|
Style Transfer (HP)
|
100% |
1077407
1.39 KIPS |
|
Style Transfer (Q)
|
98% |
479962
618.9 IPS |
|
Image Super-Resolution (SP)
|
100% |
59382
2.19 KIPS |
|
Image Super-Resolution (HP)
|
100% |
78157
2.89 KIPS |
|
Image Super-Resolution (Q)
|
99% |
44020
1.63 KIPS |
|
Text Classification (SP)
|
100% |
3563
4.76 KIPS |
|
Text Classification (HP)
|
99% |
4355
5.81 KIPS |
|
Text Classification (Q)
|
97% |
2152
2.88 KIPS |
|
Machine Translation (SP)
|
100% |
5697
98.1 IPS |
|
Machine Translation (HP)
|
100% |
5551
95.6 IPS |
|
Machine Translation (Q)
|
70% |
2589
48.5 IPS |