ASUS System Product Name
Geekbench ML Score
20075
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 26 2025 06:11 AM |
| Views | 10 |
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% |
11507
2.15 KIPS |
|
|
Image Classification (F16)
|
100% |
11475
2.15 KIPS |
|
|
Image Classification (I8)
|
100% |
9917
1.86 KIPS |
|
|
Image Segmentation (F32)
|
100% |
14657
244.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
14447
241.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
13448
224.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
120710
146.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
120217
145.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
108827
131.8 IPS |
|
|
Object Detection (F32)
|
100% |
5887
439.5 IPS |
|
|
Object Detection (F16)
|
100% |
5769
430.7 IPS |
|
|
Object Detection (I8)
|
62% |
5397
402.9 IPS |
|
|
Face Detection (F32)
|
100% |
27155
322.9 IPS |
|
|
Face Detection (F16)
|
100% |
26787
318.5 IPS |
|
|
Face Detection (I8)
|
89% |
21488
255.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
54720
424.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
54609
423.5 IPS |
|
|
Depth Estimation (I8)
|
95% |
43366
336.3 IPS |
|
|
Style Transfer (F32)
|
100% |
202732
266.7 IPS |
|
|
Style Transfer (F16)
|
100% |
205997
271.0 IPS |
|
|
Style Transfer (I8)
|
98% |
174977
230.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
32890
1.17 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
32898
1.17 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
26864
959.4 IPS |
|
|
Text Classification (F32)
|
100% |
3460
4.97 KIPS |
|
|
Text Classification (F16)
|
100% |
3417
4.91 KIPS |
|
|
Text Classification (I8)
|
98% |
2449
3.52 KIPS |
|
|
Machine Translation (F32)
|
100% |
5217
96.0 IPS |
|
|
Machine Translation (F16)
|
100% |
5368
98.8 IPS |
|
|
Machine Translation (I8)
|
70% |
3194
58.8 IPS |
