Upload Date | July 10 2025 12:50 PM |
Views | 5 |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Pro (64-bit) |
Model | ASUS System Product Name |
Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X670E EXTREME |
Power Plan | Balanced |
CPU Information | |
---|---|
Name | AMD Ryzen 9 7950X3D |
Topology | 1 Processor, 16 Cores, 32 Threads |
Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
Base Frequency | 4.20 GHz |
Cluster 1 | 16 Cores |
L1 Instruction Cache | 32.0 KB x 16 |
L1 Data Cache | 32.0 KB x 16 |
L2 Cache | 1.00 MB x 16 |
L3 Cache | 96.0 MB x 2 |
Memory Information | |
---|---|
Size | 32.00 GB |
Inference Information | |
---|---|
Framework | ONNX |
Backend | DirectML |
Device | AMD Radeon RX 9060 XT |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
11217
2.10 KIPS |
|
Image Classification (F16)
|
100% |
11176
2.09 KIPS |
|
Image Classification (I8)
|
100% |
9695
1.81 KIPS |
|
Image Segmentation (F32)
|
100% |
13651
228.0 IPS |
|
Image Segmentation (F16)
|
100% |
13432
224.3 IPS |
|
Image Segmentation (I8)
|
98% |
12471
208.3 IPS |
|
Pose Estimation (F32)
|
100% |
123214
149.2 IPS |
|
Pose Estimation (F16)
|
100% |
122463
148.3 IPS |
|
Pose Estimation (I8)
|
100% |
107336
130.0 IPS |
|
Object Detection (F32)
|
100% |
5721
427.1 IPS |
|
Object Detection (F16)
|
100% |
5608
418.6 IPS |
|
Object Detection (I8)
|
62% |
5206
388.7 IPS |
|
Face Detection (F32)
|
100% |
25498
303.2 IPS |
|
Face Detection (F16)
|
100% |
25771
306.4 IPS |
|
Face Detection (I8)
|
89% |
20808
247.4 IPS |
|
Depth Estimation (F32)
|
100% |
53243
412.9 IPS |
|
Depth Estimation (F16)
|
100% |
53291
413.3 IPS |
|
Depth Estimation (I8)
|
95% |
43569
337.9 IPS |
|
Style Transfer (F32)
|
100% |
206058
271.1 IPS |
|
Style Transfer (F16)
|
100% |
194653
256.0 IPS |
|
Style Transfer (I8)
|
98% |
169144
222.5 IPS |
|
Image Super-Resolution (F32)
|
100% |
32648
1.17 KIPS |
|
Image Super-Resolution (F16)
|
100% |
32384
1.16 KIPS |
|
Image Super-Resolution (I8)
|
99% |
16995
606.9 IPS |
|
Text Classification (F32)
|
100% |
3543
5.09 KIPS |
|
Text Classification (F16)
|
100% |
3429
4.93 KIPS |
|
Text Classification (I8)
|
98% |
2377
3.42 KIPS |
|
Machine Translation (F32)
|
100% |
4909
90.3 IPS |
|
Machine Translation (F16)
|
100% |
4845
89.2 IPS |
|
Machine Translation (I8)
|
70% |
2856
52.6 IPS |