User | aeonsim |
Upload Date | July 25 2025 08:40 AM |
Views | 6 |
AI Information | |
---|---|
Framework | ONNX |
Backend | DirectML |
Device | AMD Radeon RX 9070 XT |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Pro (64-bit) |
Model | Gigabyte Technology Co., Ltd. B650 GAMING X AX |
Motherboard | Gigabyte Technology Co., Ltd. B650 GAMING X AX |
Power Plan | Balanced |
CPU Information | |
---|---|
Name | AMD Ryzen 9 7900 |
Topology | 1 Processor, 12 Cores, 24 Threads |
Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
Base Frequency | 3.70 GHz |
Cluster 1 | 12 Cores |
Memory Information | |
---|---|
Size | 64.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
16580
3.08 KIPS |
|
Image Classification (HP)
|
100% |
18995
3.53 KIPS |
|
Image Classification (Q)
|
99% |
15411
2.87 KIPS |
|
Image Segmentation (SP)
|
100% |
20638
334.6 IPS |
|
Image Segmentation (HP)
|
100% |
24548
397.9 IPS |
|
Image Segmentation (Q)
|
98% |
27463
446.6 IPS |
|
Pose Estimation (SP)
|
100% |
210648
245.8 IPS |
|
Pose Estimation (HP)
|
100% |
644555
752.1 IPS |
|
Pose Estimation (Q)
|
96% |
188803
221.2 IPS |
|
Object Detection (SP)
|
100% |
14983
1.19 KIPS |
|
Object Detection (HP)
|
99% |
21900
1.74 KIPS |
|
Object Detection (Q)
|
87% |
14002
1.12 KIPS |
|
Face Detection (SP)
|
100% |
55833
663.4 IPS |
|
Face Detection (HP)
|
100% |
64647
768.2 IPS |
|
Face Detection (Q)
|
97% |
50411
601.1 IPS |
|
Depth Estimation (SP)
|
100% |
86212
664.2 IPS |
|
Depth Estimation (HP)
|
99% |
128944
993.4 IPS |
|
Depth Estimation (Q)
|
77% |
70691
566.5 IPS |
|
Style Transfer (SP)
|
100% |
397074
510.4 IPS |
|
Style Transfer (HP)
|
100% |
736249
946.5 IPS |
|
Style Transfer (Q)
|
98% |
362617
467.6 IPS |
|
Image Super-Resolution (SP)
|
100% |
52572
1.94 KIPS |
|
Image Super-Resolution (HP)
|
100% |
86254
3.18 KIPS |
|
Image Super-Resolution (Q)
|
99% |
43076
1.60 KIPS |
|
Text Classification (SP)
|
100% |
4891
6.53 KIPS |
|
Text Classification (HP)
|
100% |
5402
7.21 KIPS |
|
Text Classification (Q)
|
97% |
3459
4.63 KIPS |
|
Machine Translation (SP)
|
100% |
8135
140.1 IPS |
|
Machine Translation (HP)
|
100% |
8165
140.7 IPS |
|
Machine Translation (Q)
|
70% |
4383
82.2 IPS |