| Upload Date | November 15 2025 04:47 PM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Education (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X870M AORUS ELITE WIFI7 ICE |
| Motherboard | Gigabyte Technology Co., Ltd. X870M AORUS ELITE WIFI7 ICE |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X |
| 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 | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
14743
2.74 KIPS |
|
|
Image Classification (HP)
|
100% |
22970
4.27 KIPS |
|
|
Image Classification (Q)
|
100% |
12930
2.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
27553
446.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
42021
681.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
24686
401.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
177978
207.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
722821
843.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
160890
188.5 IPS |
|
|
Object Detection (SP)
|
100% |
18702
1.48 KIPS |
|
|
Object Detection (HP)
|
100% |
31916
2.53 KIPS |
|
|
Object Detection (Q)
|
86% |
15599
1.25 KIPS |
|
|
Face Detection (SP)
|
100% |
55467
659.1 IPS |
|
|
Face Detection (HP)
|
100% |
80964
962.0 IPS |
|
|
Face Detection (Q)
|
97% |
44981
536.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
89206
687.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
159976
1.23 KIPS |
|
|
Depth Estimation (Q)
|
78% |
67125
536.0 IPS |
|
|
Style Transfer (SP)
|
100% |
329650
423.8 IPS |
|
|
Style Transfer (HP)
|
100% |
1088107
1.40 KIPS |
|
|
Style Transfer (Q)
|
98% |
268800
346.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
49945
1.84 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
83592
3.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37570
1.39 KIPS |
|
|
Text Classification (SP)
|
100% |
4234
5.65 KIPS |
|
|
Text Classification (HP)
|
100% |
5343
7.13 KIPS |
|
|
Text Classification (Q)
|
97% |
2479
3.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
7634
131.5 IPS |
|
|
Machine Translation (HP)
|
100% |
7595
130.8 IPS |
|
|
Machine Translation (Q)
|
70% |
3018
56.6 IPS |