User | aeonsim |
Upload Date | April 03 2025 04:58 AM |
Views | 4 |
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% |
17217
3.20 KIPS |
|
Image Classification (HP)
|
100% |
18608
3.46 KIPS |
|
Image Classification (Q)
|
99% |
15722
2.93 KIPS |
|
Image Segmentation (SP)
|
100% |
20619
334.3 IPS |
|
Image Segmentation (HP)
|
100% |
24696
400.3 IPS |
|
Image Segmentation (Q)
|
98% |
27857
453.0 IPS |
|
Pose Estimation (SP)
|
100% |
213914
249.6 IPS |
|
Pose Estimation (HP)
|
100% |
658578
768.5 IPS |
|
Pose Estimation (Q)
|
96% |
192299
225.3 IPS |
|
Object Detection (SP)
|
100% |
15008
1.19 KIPS |
|
Object Detection (HP)
|
99% |
22397
1.78 KIPS |
|
Object Detection (Q)
|
87% |
14150
1.14 KIPS |
|
Face Detection (SP)
|
100% |
56041
665.9 IPS |
|
Face Detection (HP)
|
100% |
65139
774.0 IPS |
|
Face Detection (Q)
|
97% |
50871
606.6 IPS |
|
Depth Estimation (SP)
|
100% |
87415
673.5 IPS |
|
Depth Estimation (HP)
|
99% |
130733
1.01 KIPS |
|
Depth Estimation (Q)
|
77% |
70412
564.3 IPS |
|
Style Transfer (SP)
|
100% |
395439
508.3 IPS |
|
Style Transfer (HP)
|
100% |
709108
911.6 IPS |
|
Style Transfer (Q)
|
98% |
370991
478.4 IPS |
|
Image Super-Resolution (SP)
|
100% |
50600
1.87 KIPS |
|
Image Super-Resolution (HP)
|
100% |
87177
3.22 KIPS |
|
Image Super-Resolution (Q)
|
99% |
43701
1.62 KIPS |
|
Text Classification (SP)
|
100% |
4626
6.17 KIPS |
|
Text Classification (HP)
|
100% |
4541
6.06 KIPS |
|
Text Classification (Q)
|
97% |
3277
4.39 KIPS |
|
Machine Translation (SP)
|
100% |
7240
124.7 IPS |
|
Machine Translation (HP)
|
100% |
7644
131.7 IPS |
|
Machine Translation (Q)
|
70% |
4351
81.6 IPS |