| User | JLK03F150 |
| Upload Date | March 10 2025 03:15 AM |
| Views | 19 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 9070 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X570 AORUS ELITE WIFI |
| Motherboard | Gigabyte Technology Co., Ltd. X570 AORUS ELITE WIFI |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12057
2.24 KIPS |
|
|
Image Classification (HP)
|
100% |
12811
2.38 KIPS |
|
|
Image Classification (Q)
|
99% |
10650
1.99 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17850
289.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
20848
338.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
15933
259.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
235805
275.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
524143
611.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
205270
240.4 IPS |
|
|
Object Detection (SP)
|
100% |
10044
796.7 IPS |
|
|
Object Detection (HP)
|
99% |
14421
1.14 KIPS |
|
|
Object Detection (Q)
|
87% |
10053
807.4 IPS |
|
|
Face Detection (SP)
|
100% |
38037
452.0 IPS |
|
|
Face Detection (HP)
|
100% |
42369
503.4 IPS |
|
|
Face Detection (Q)
|
97% |
32355
385.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
85735
660.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
105843
815.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
63563
509.4 IPS |
|
|
Style Transfer (SP)
|
100% |
370696
476.5 IPS |
|
|
Style Transfer (HP)
|
100% |
580279
746.0 IPS |
|
|
Style Transfer (Q)
|
98% |
346170
446.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
42791
1.58 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
60370
2.23 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
31466
1.17 KIPS |
|
|
Text Classification (SP)
|
100% |
3752
5.01 KIPS |
|
|
Text Classification (HP)
|
100% |
3477
4.64 KIPS |
|
|
Text Classification (Q)
|
97% |
2245
3.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
4700
81.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4267
73.5 IPS |
|
|
Machine Translation (Q)
|
70% |
2251
42.2 IPS |