ASUS System Product Name
Geekbench ML Score
19890
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 17 2025 09:00 AM |
| Views | 2 |
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% |
11525
2.16 KIPS |
|
|
Image Classification (F16)
|
100% |
11351
2.12 KIPS |
|
|
Image Classification (I8)
|
100% |
9919
1.86 KIPS |
|
|
Image Segmentation (F32)
|
100% |
14047
234.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
13751
229.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
13003
217.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
123069
149.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
122479
148.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
109359
132.4 IPS |
|
|
Object Detection (F32)
|
100% |
5756
429.7 IPS |
|
|
Object Detection (F16)
|
100% |
5761
430.1 IPS |
|
|
Object Detection (I8)
|
62% |
5449
406.8 IPS |
|
|
Face Detection (F32)
|
100% |
26366
313.5 IPS |
|
|
Face Detection (F16)
|
100% |
26680
317.2 IPS |
|
|
Face Detection (I8)
|
89% |
21655
257.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
55395
429.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
55721
432.1 IPS |
|
|
Depth Estimation (I8)
|
95% |
43968
341.0 IPS |
|
|
Style Transfer (F32)
|
100% |
203303
267.4 IPS |
|
|
Style Transfer (F16)
|
100% |
200979
264.4 IPS |
|
|
Style Transfer (I8)
|
98% |
169830
223.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
27328
976.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
32208
1.15 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
23934
854.7 IPS |
|
|
Text Classification (F32)
|
100% |
3848
5.53 KIPS |
|
|
Text Classification (F16)
|
100% |
3674
5.28 KIPS |
|
|
Text Classification (I8)
|
98% |
2524
3.63 KIPS |
|
|
Machine Translation (F32)
|
100% |
5266
96.9 IPS |
|
|
Machine Translation (F16)
|
100% |
5344
98.4 IPS |
|
|
Machine Translation (I8)
|
70% |
3092
56.9 IPS |
