ASUS System Product Name
Geekbench ML Score
21279
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | November 18 2025 04:24 AM |
| Views | 3 |
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 7900 XTX |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
12300
2.30 KIPS |
|
|
Image Classification (F16)
|
100% |
12318
2.31 KIPS |
|
|
Image Classification (I8)
|
100% |
9953
1.86 KIPS |
|
|
Image Segmentation (F32)
|
100% |
13545
226.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
13581
226.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
12545
209.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
230083
278.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
235215
284.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
206252
249.8 IPS |
|
|
Object Detection (F32)
|
100% |
4899
365.7 IPS |
|
|
Object Detection (F16)
|
100% |
5460
407.7 IPS |
|
|
Object Detection (I8)
|
56% |
4384
327.3 IPS |
|
|
Face Detection (F32)
|
100% |
39764
472.8 IPS |
|
|
Face Detection (F16)
|
100% |
40296
479.1 IPS |
|
|
Face Detection (I8)
|
88% |
33573
399.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
64673
501.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
64307
498.7 IPS |
|
|
Depth Estimation (I8)
|
95% |
51879
402.3 IPS |
|
|
Style Transfer (F32)
|
100% |
229495
301.9 IPS |
|
|
Style Transfer (F16)
|
100% |
227175
298.8 IPS |
|
|
Style Transfer (I8)
|
98% |
207621
273.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
24215
864.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
25211
900.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
18982
677.9 IPS |
|
|
Text Classification (F32)
|
100% |
3520
5.06 KIPS |
|
|
Text Classification (F16)
|
100% |
3602
5.18 KIPS |
|
|
Text Classification (I8)
|
98% |
2023
2.91 KIPS |
|
|
Machine Translation (F32)
|
100% |
4156
76.5 IPS |
|
|
Machine Translation (F16)
|
100% |
4180
76.9 IPS |
|
|
Machine Translation (I8)
|
70% |
2335
43.0 IPS |
