ASUS System Product Name
Geekbench ML Score
21183
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | April 21 2026 09:21 AM |
| Views | 2 |
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% |
12340
2.31 KIPS |
|
|
Image Classification (F16)
|
100% |
12262
2.29 KIPS |
|
|
Image Classification (I8)
|
100% |
10089
1.89 KIPS |
|
|
Image Segmentation (F32)
|
100% |
13772
230.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
13765
229.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
12678
211.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
226623
274.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
238029
288.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
208165
252.1 IPS |
|
|
Object Detection (F32)
|
100% |
5416
404.3 IPS |
|
|
Object Detection (F16)
|
100% |
5178
386.6 IPS |
|
|
Object Detection (I8)
|
56% |
4509
336.6 IPS |
|
|
Face Detection (F32)
|
100% |
39763
472.8 IPS |
|
|
Face Detection (F16)
|
100% |
39735
472.5 IPS |
|
|
Face Detection (I8)
|
88% |
33796
401.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
64339
498.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
65411
507.3 IPS |
|
|
Depth Estimation (I8)
|
95% |
51543
399.7 IPS |
|
|
Style Transfer (F32)
|
100% |
220474
290.0 IPS |
|
|
Style Transfer (F16)
|
100% |
229548
302.0 IPS |
|
|
Style Transfer (I8)
|
98% |
210379
276.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
23130
826.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
22701
810.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
17676
631.3 IPS |
|
|
Text Classification (F32)
|
100% |
3531
5.07 KIPS |
|
|
Text Classification (F16)
|
100% |
3536
5.08 KIPS |
|
|
Text Classification (I8)
|
98% |
1999
2.87 KIPS |
|
|
Machine Translation (F32)
|
100% |
4166
76.7 IPS |
|
|
Machine Translation (F16)
|
100% |
4160
76.6 IPS |
|
|
Machine Translation (I8)
|
70% |
2335
43.0 IPS |
