ASUS System Product Name
Geekbench ML Score
20875
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 02 2025 05:54 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% |
12032
2.25 KIPS |
|
|
Image Classification (F16)
|
100% |
11891
2.23 KIPS |
|
|
Image Classification (I8)
|
100% |
9612
1.80 KIPS |
|
|
Image Segmentation (F32)
|
100% |
13594
227.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
13730
229.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
12152
203.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
228802
277.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
236285
286.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
212422
257.2 IPS |
|
|
Object Detection (F32)
|
100% |
5011
374.1 IPS |
|
|
Object Detection (F16)
|
100% |
5428
405.3 IPS |
|
|
Object Detection (I8)
|
56% |
4681
349.5 IPS |
|
|
Face Detection (F32)
|
100% |
40475
481.3 IPS |
|
|
Face Detection (F16)
|
100% |
40027
475.9 IPS |
|
|
Face Detection (I8)
|
88% |
33528
398.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
65701
509.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
65480
507.8 IPS |
|
|
Depth Estimation (I8)
|
95% |
50282
389.9 IPS |
|
|
Style Transfer (F32)
|
100% |
213308
280.6 IPS |
|
|
Style Transfer (F16)
|
100% |
218862
287.9 IPS |
|
|
Style Transfer (I8)
|
98% |
198855
261.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
22683
810.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
22263
795.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
17642
630.0 IPS |
|
|
Text Classification (F32)
|
100% |
3455
4.97 KIPS |
|
|
Text Classification (F16)
|
100% |
3446
4.95 KIPS |
|
|
Text Classification (I8)
|
98% |
1939
2.79 KIPS |
|
|
Machine Translation (F32)
|
100% |
4091
75.3 IPS |
|
|
Machine Translation (F16)
|
100% |
4096
75.4 IPS |
|
|
Machine Translation (I8)
|
70% |
2263
41.6 IPS |
