ASUS System Product Name
Geekbench ML Score
19973
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | June 12 2025 05:52 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% |
11562
2.16 KIPS |
|
|
Image Classification (F16)
|
100% |
11461
2.14 KIPS |
|
|
Image Classification (I8)
|
100% |
9990
1.87 KIPS |
|
|
Image Segmentation (F32)
|
100% |
13816
230.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
14263
238.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
13215
220.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
121004
146.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
122505
148.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
105399
127.6 IPS |
|
|
Object Detection (F32)
|
100% |
5951
444.3 IPS |
|
|
Object Detection (F16)
|
100% |
5735
428.2 IPS |
|
|
Object Detection (I8)
|
62% |
5370
400.9 IPS |
|
|
Face Detection (F32)
|
100% |
26645
316.8 IPS |
|
|
Face Detection (F16)
|
100% |
26117
310.5 IPS |
|
|
Face Detection (I8)
|
89% |
21216
252.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
53836
417.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
53828
417.4 IPS |
|
|
Depth Estimation (I8)
|
95% |
42825
332.1 IPS |
|
|
Style Transfer (F32)
|
100% |
197026
259.2 IPS |
|
|
Style Transfer (F16)
|
100% |
207706
273.2 IPS |
|
|
Style Transfer (I8)
|
98% |
173358
228.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
33070
1.18 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
32164
1.15 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
26357
941.3 IPS |
|
|
Text Classification (F32)
|
100% |
3771
5.42 KIPS |
|
|
Text Classification (F16)
|
100% |
3743
5.38 KIPS |
|
|
Text Classification (I8)
|
98% |
2412
3.47 KIPS |
|
|
Machine Translation (F32)
|
100% |
5252
96.6 IPS |
|
|
Machine Translation (F16)
|
100% |
5224
96.1 IPS |
|
|
Machine Translation (I8)
|
70% |
3071
56.5 IPS |
