ASUS System Product Name
Geekbench ML Score
19969
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | November 10 2025 06:10 AM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X670E HERO |
| 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% |
11505
2.15 KIPS |
|
|
Image Classification (F16)
|
100% |
11479
2.15 KIPS |
|
|
Image Classification (I8)
|
100% |
9915
1.86 KIPS |
|
|
Image Segmentation (F32)
|
100% |
14047
234.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
14223
237.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
13426
224.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
119260
144.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
119585
144.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
104047
126.0 IPS |
|
|
Object Detection (F32)
|
100% |
5809
433.7 IPS |
|
|
Object Detection (F16)
|
100% |
5614
419.1 IPS |
|
|
Object Detection (I8)
|
62% |
5168
385.8 IPS |
|
|
Face Detection (F32)
|
100% |
26741
318.0 IPS |
|
|
Face Detection (F16)
|
100% |
26691
317.4 IPS |
|
|
Face Detection (I8)
|
89% |
21199
252.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
54177
420.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
53818
417.4 IPS |
|
|
Depth Estimation (I8)
|
95% |
43582
338.0 IPS |
|
|
Style Transfer (F32)
|
100% |
197928
260.4 IPS |
|
|
Style Transfer (F16)
|
100% |
205688
270.6 IPS |
|
|
Style Transfer (I8)
|
98% |
171331
225.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
31012
1.11 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
32636
1.17 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
26975
963.4 IPS |
|
|
Text Classification (F32)
|
100% |
3711
5.33 KIPS |
|
|
Text Classification (F16)
|
100% |
3831
5.51 KIPS |
|
|
Text Classification (I8)
|
98% |
2500
3.59 KIPS |
|
|
Machine Translation (F32)
|
100% |
5323
98.0 IPS |
|
|
Machine Translation (F16)
|
100% |
5360
98.6 IPS |
|
|
Machine Translation (I8)
|
70% |
3144
57.9 IPS |
