| User | unlobito |
| Upload Date | March 29 2026 04:08 AM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. B650E MAX GAMING WIFI W |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13954
2.60 KIPS |
|
|
Image Classification (HP)
|
100% |
21543
4.01 KIPS |
|
|
Image Classification (Q)
|
100% |
12274
2.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
27534
446.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
42463
688.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
24724
402.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
171459
200.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
717058
836.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
153883
180.3 IPS |
|
|
Object Detection (SP)
|
100% |
18165
1.44 KIPS |
|
|
Object Detection (HP)
|
100% |
31795
2.52 KIPS |
|
|
Object Detection (Q)
|
86% |
14973
1.20 KIPS |
|
|
Face Detection (SP)
|
100% |
54674
649.6 IPS |
|
|
Face Detection (HP)
|
100% |
81308
966.1 IPS |
|
|
Face Detection (Q)
|
97% |
44235
527.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
85883
661.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
151951
1.17 KIPS |
|
|
Depth Estimation (Q)
|
78% |
63702
508.7 IPS |
|
|
Style Transfer (SP)
|
100% |
315580
405.7 IPS |
|
|
Style Transfer (HP)
|
100% |
1083123
1.39 KIPS |
|
|
Style Transfer (Q)
|
98% |
261786
337.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
48196
1.78 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
83561
3.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37176
1.38 KIPS |
|
|
Text Classification (SP)
|
100% |
3901
5.21 KIPS |
|
|
Text Classification (HP)
|
100% |
4863
6.49 KIPS |
|
|
Text Classification (Q)
|
97% |
2253
3.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
7525
129.6 IPS |
|
|
Machine Translation (HP)
|
100% |
7612
131.1 IPS |
|
|
Machine Translation (Q)
|
70% |
3146
59.0 IPS |