ASUS System Product Name
Geekbench ML Score
21250
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | December 12 2025 04:54 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% |
11973
2.24 KIPS |
|
|
Image Classification (F16)
|
100% |
11880
2.22 KIPS |
|
|
Image Classification (I8)
|
100% |
9795
1.83 KIPS |
|
|
Image Segmentation (F32)
|
100% |
13859
231.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
13755
229.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
12648
211.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
234154
283.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
236535
286.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
215617
261.1 IPS |
|
|
Object Detection (F32)
|
100% |
5231
390.5 IPS |
|
|
Object Detection (F16)
|
100% |
5356
399.9 IPS |
|
|
Object Detection (I8)
|
56% |
4635
346.1 IPS |
|
|
Face Detection (F32)
|
100% |
39840
473.7 IPS |
|
|
Face Detection (F16)
|
100% |
40385
480.2 IPS |
|
|
Face Detection (I8)
|
88% |
33847
402.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
63633
493.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
65846
510.6 IPS |
|
|
Depth Estimation (I8)
|
95% |
50924
394.9 IPS |
|
|
Style Transfer (F32)
|
100% |
222455
292.6 IPS |
|
|
Style Transfer (F16)
|
100% |
227558
299.3 IPS |
|
|
Style Transfer (I8)
|
98% |
208874
274.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
23803
850.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
23971
856.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
18468
659.5 IPS |
|
|
Text Classification (F32)
|
100% |
3521
5.06 KIPS |
|
|
Text Classification (F16)
|
100% |
3480
5.00 KIPS |
|
|
Text Classification (I8)
|
98% |
1985
2.85 KIPS |
|
|
Machine Translation (F32)
|
100% |
4159
76.5 IPS |
|
|
Machine Translation (F16)
|
100% |
4165
76.7 IPS |
|
|
Machine Translation (I8)
|
70% |
2330
42.9 IPS |
