ASUS System Product Name
Geekbench ML Score
19528
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 08 2025 06:35 AM |
| Views | 6 |
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% |
11387
2.13 KIPS |
|
|
Image Classification (F16)
|
100% |
11187
2.09 KIPS |
|
|
Image Classification (I8)
|
100% |
9839
1.84 KIPS |
|
|
Image Segmentation (F32)
|
100% |
13830
231.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
14167
236.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
11500
192.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
121445
147.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
123067
149.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
110016
133.2 IPS |
|
|
Object Detection (F32)
|
100% |
5944
443.7 IPS |
|
|
Object Detection (F16)
|
100% |
5378
401.5 IPS |
|
|
Object Detection (I8)
|
62% |
5373
401.1 IPS |
|
|
Face Detection (F32)
|
100% |
26960
320.6 IPS |
|
|
Face Detection (F16)
|
100% |
26874
319.5 IPS |
|
|
Face Detection (I8)
|
89% |
19348
230.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
54367
421.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
53507
414.9 IPS |
|
|
Depth Estimation (I8)
|
95% |
43638
338.4 IPS |
|
|
Style Transfer (F32)
|
100% |
204759
269.3 IPS |
|
|
Style Transfer (F16)
|
100% |
191616
252.1 IPS |
|
|
Style Transfer (I8)
|
98% |
169857
223.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
31850
1.14 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
27872
995.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
25390
906.7 IPS |
|
|
Text Classification (F32)
|
100% |
3449
4.96 KIPS |
|
|
Text Classification (F16)
|
100% |
3424
4.92 KIPS |
|
|
Text Classification (I8)
|
98% |
2394
3.44 KIPS |
|
|
Machine Translation (F32)
|
100% |
5332
98.1 IPS |
|
|
Machine Translation (F16)
|
100% |
5256
96.7 IPS |
|
|
Machine Translation (I8)
|
70% |
3106
57.2 IPS |
