| User | oscarbg81 |
| Upload Date | August 12 2025 03:03 AM |
| Views | 9 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro Insider Preview (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ProArt X670E-CREATOR WIFI |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10719
1.99 KIPS |
|
|
Image Classification (HP)
|
99% |
16319
3.04 KIPS |
|
|
Image Classification (Q)
|
100% |
9500
1.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21562
349.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
28978
469.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
19018
309.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
149293
174.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
366632
427.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
136305
159.7 IPS |
|
|
Object Detection (SP)
|
100% |
14070
1.12 KIPS |
|
|
Object Detection (HP)
|
100% |
22373
1.77 KIPS |
|
|
Object Detection (Q)
|
85% |
11976
964.1 IPS |
|
|
Face Detection (SP)
|
100% |
37651
447.4 IPS |
|
|
Face Detection (HP)
|
100% |
56756
674.4 IPS |
|
|
Face Detection (Q)
|
97% |
31940
380.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
66724
514.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
116780
899.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
52497
419.2 IPS |
|
|
Style Transfer (SP)
|
100% |
264804
340.4 IPS |
|
|
Style Transfer (HP)
|
100% |
594569
764.3 IPS |
|
|
Style Transfer (Q)
|
98% |
236076
304.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
47294
1.75 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
59320
2.19 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33094
1.23 KIPS |
|
|
Text Classification (SP)
|
100% |
3446
4.60 KIPS |
|
|
Text Classification (HP)
|
100% |
4205
5.61 KIPS |
|
|
Text Classification (Q)
|
97% |
2166
2.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
6024
103.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6135
105.7 IPS |
|
|
Machine Translation (Q)
|
70% |
2687
50.4 IPS |