ASUS System Product Name
Geekbench ML Score
18938
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 16 2025 10:05 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% |
9851
1.84 KIPS |
|
|
Image Classification (F16)
|
100% |
11495
2.15 KIPS |
|
|
Image Classification (I8)
|
100% |
9474
1.77 KIPS |
|
|
Image Segmentation (F32)
|
100% |
9291
155.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
14458
241.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
12442
207.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
119908
145.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
122235
148.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
105733
128.0 IPS |
|
|
Object Detection (F32)
|
100% |
5365
400.6 IPS |
|
|
Object Detection (F16)
|
100% |
5861
437.6 IPS |
|
|
Object Detection (I8)
|
62% |
5342
398.8 IPS |
|
|
Face Detection (F32)
|
100% |
25479
302.9 IPS |
|
|
Face Detection (F16)
|
100% |
26653
316.9 IPS |
|
|
Face Detection (I8)
|
89% |
20825
247.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
52394
406.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
54884
425.6 IPS |
|
|
Depth Estimation (I8)
|
95% |
43168
334.8 IPS |
|
|
Style Transfer (F32)
|
100% |
198402
261.0 IPS |
|
|
Style Transfer (F16)
|
100% |
194774
256.2 IPS |
|
|
Style Transfer (I8)
|
98% |
172430
226.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
28265
1.01 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
26964
963.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
23301
832.1 IPS |
|
|
Text Classification (F32)
|
100% |
3259
4.68 KIPS |
|
|
Text Classification (F16)
|
100% |
3707
5.33 KIPS |
|
|
Text Classification (I8)
|
98% |
2327
3.34 KIPS |
|
|
Machine Translation (F32)
|
100% |
4735
87.1 IPS |
|
|
Machine Translation (F16)
|
100% |
5428
99.9 IPS |
|
|
Machine Translation (I8)
|
70% |
2986
54.9 IPS |
