ASUS System Product Name
Geekbench ML Score
19846
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 09 2025 10:15 AM |
| Views | 4 |
System Information
| 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 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
11579
2.17 KIPS |
|
|
Image Classification (F16)
|
100% |
11513
2.15 KIPS |
|
|
Image Classification (I8)
|
100% |
9997
1.87 KIPS |
|
|
Image Segmentation (F32)
|
100% |
13971
233.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
14224
237.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
13235
221.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
120371
145.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
123111
149.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
110172
133.4 IPS |
|
|
Object Detection (F32)
|
100% |
5587
417.1 IPS |
|
|
Object Detection (F16)
|
100% |
5413
404.1 IPS |
|
|
Object Detection (I8)
|
62% |
5284
394.5 IPS |
|
|
Face Detection (F32)
|
100% |
26433
314.3 IPS |
|
|
Face Detection (F16)
|
100% |
26458
314.6 IPS |
|
|
Face Detection (I8)
|
89% |
21168
251.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
54697
424.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
55101
427.3 IPS |
|
|
Depth Estimation (I8)
|
95% |
43692
338.8 IPS |
|
|
Style Transfer (F32)
|
100% |
198001
260.5 IPS |
|
|
Style Transfer (F16)
|
100% |
198602
261.2 IPS |
|
|
Style Transfer (I8)
|
98% |
173724
228.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
33193
1.19 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
26884
960.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
26548
948.1 IPS |
|
|
Text Classification (F32)
|
100% |
3857
5.54 KIPS |
|
|
Text Classification (F16)
|
100% |
3513
5.05 KIPS |
|
|
Text Classification (I8)
|
98% |
2480
3.56 KIPS |
|
|
Machine Translation (F32)
|
100% |
5351
98.5 IPS |
|
|
Machine Translation (F16)
|
100% |
5326
98.0 IPS |
|
|
Machine Translation (I8)
|
70% |
3085
56.8 IPS |
