ASUS System Product Name
Geekbench ML Score
20848
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | February 11 2025 05:18 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 7900 XTX |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
12008
2.25 KIPS |
|
|
Image Classification (F16)
|
100% |
12188
2.28 KIPS |
|
|
Image Classification (I8)
|
100% |
9665
1.81 KIPS |
|
|
Image Segmentation (F32)
|
100% |
13628
227.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
13647
227.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
12870
215.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
223247
270.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
228321
276.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
211763
256.4 IPS |
|
|
Object Detection (F32)
|
100% |
4759
355.3 IPS |
|
|
Object Detection (F16)
|
100% |
4868
363.5 IPS |
|
|
Object Detection (I8)
|
56% |
4720
352.4 IPS |
|
|
Face Detection (F32)
|
100% |
40447
480.9 IPS |
|
|
Face Detection (F16)
|
100% |
40310
479.3 IPS |
|
|
Face Detection (I8)
|
88% |
33742
401.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
64931
503.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
65016
504.2 IPS |
|
|
Depth Estimation (I8)
|
95% |
51058
396.0 IPS |
|
|
Style Transfer (F32)
|
100% |
219862
289.2 IPS |
|
|
Style Transfer (F16)
|
100% |
229798
302.3 IPS |
|
|
Style Transfer (I8)
|
98% |
201777
265.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
22538
804.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
23288
831.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
17388
621.0 IPS |
|
|
Text Classification (F32)
|
100% |
3426
4.92 KIPS |
|
|
Text Classification (F16)
|
100% |
3445
4.95 KIPS |
|
|
Text Classification (I8)
|
98% |
1917
2.76 KIPS |
|
|
Machine Translation (F32)
|
100% |
4077
75.0 IPS |
|
|
Machine Translation (F16)
|
100% |
4081
75.1 IPS |
|
|
Machine Translation (I8)
|
70% |
2249
41.4 IPS |
