| User | CocaCola |
| Upload Date | August 06 2025 02:28 PM |
| Views | 11 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X870E APEX |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X3D |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
18561
3.45 KIPS |
|
|
Image Classification (HP)
|
100% |
24721
4.60 KIPS |
|
|
Image Classification (Q)
|
100% |
15869
2.95 KIPS |
|
|
Image Segmentation (SP)
|
100% |
41695
675.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
55256
895.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
37914
616.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
415541
484.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
1045236
1.22 KIPS |
|
|
Pose Estimation (Q)
|
96% |
333073
390.1 IPS |
|
|
Object Detection (SP)
|
100% |
26384
2.09 KIPS |
|
|
Object Detection (HP)
|
100% |
34702
2.75 KIPS |
|
|
Object Detection (Q)
|
85% |
21722
1.75 KIPS |
|
|
Face Detection (SP)
|
100% |
81092
963.6 IPS |
|
|
Face Detection (HP)
|
100% |
112593
1.34 KIPS |
|
|
Face Detection (Q)
|
97% |
63650
759.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
110823
853.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
200546
1.55 KIPS |
|
|
Depth Estimation (Q)
|
77% |
79562
637.3 IPS |
|
|
Style Transfer (SP)
|
100% |
619238
796.0 IPS |
|
|
Style Transfer (HP)
|
100% |
1800192
2.31 KIPS |
|
|
Style Transfer (Q)
|
98% |
517584
667.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
78939
2.91 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
106237
3.92 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
56560
2.09 KIPS |
|
|
Text Classification (SP)
|
100% |
4397
5.87 KIPS |
|
|
Text Classification (HP)
|
100% |
5479
7.31 KIPS |
|
|
Text Classification (Q)
|
97% |
2580
3.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
8135
140.1 IPS |
|
|
Machine Translation (HP)
|
100% |
8142
140.2 IPS |
|
|
Machine Translation (Q)
|
70% |
3388
63.5 IPS |