ASUS System Product Name
Geekbench ML Score
20083
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | June 16 2025 08:08 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% |
11614
2.17 KIPS |
|
|
Image Classification (F16)
|
100% |
11606
2.17 KIPS |
|
|
Image Classification (I8)
|
100% |
10097
1.89 KIPS |
|
|
Image Segmentation (F32)
|
100% |
14140
236.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
13845
231.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
13203
220.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
118754
143.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
116820
141.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
108466
131.3 IPS |
|
|
Object Detection (F32)
|
100% |
5757
429.8 IPS |
|
|
Object Detection (F16)
|
100% |
5756
429.7 IPS |
|
|
Object Detection (I8)
|
62% |
5315
396.8 IPS |
|
|
Face Detection (F32)
|
100% |
26797
318.6 IPS |
|
|
Face Detection (F16)
|
100% |
27008
321.1 IPS |
|
|
Face Detection (I8)
|
89% |
20151
239.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
56721
439.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
54539
422.9 IPS |
|
|
Depth Estimation (I8)
|
95% |
44073
341.8 IPS |
|
|
Style Transfer (F32)
|
100% |
200222
263.4 IPS |
|
|
Style Transfer (F16)
|
100% |
207910
273.5 IPS |
|
|
Style Transfer (I8)
|
98% |
175973
231.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
34189
1.22 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
32247
1.15 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
24559
877.1 IPS |
|
|
Text Classification (F32)
|
100% |
3742
5.38 KIPS |
|
|
Text Classification (F16)
|
100% |
3904
5.61 KIPS |
|
|
Text Classification (I8)
|
98% |
2490
3.58 KIPS |
|
|
Machine Translation (F32)
|
100% |
5388
99.1 IPS |
|
|
Machine Translation (F16)
|
100% |
5342
98.3 IPS |
|
|
Machine Translation (I8)
|
70% |
3160
58.1 IPS |
