ASUS System Product Name
Geekbench ML Score
21076
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | March 10 2026 11:37 AM |
| Views | 9 |
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% |
12380
2.32 KIPS |
|
|
Image Classification (F16)
|
100% |
12511
2.34 KIPS |
|
|
Image Classification (I8)
|
100% |
10129
1.90 KIPS |
|
|
Image Segmentation (F32)
|
100% |
14059
234.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
13882
231.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
12569
209.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
228252
276.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
225639
273.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
206608
250.2 IPS |
|
|
Object Detection (F32)
|
100% |
4489
335.2 IPS |
|
|
Object Detection (F16)
|
100% |
4630
345.7 IPS |
|
|
Object Detection (I8)
|
56% |
5019
374.7 IPS |
|
|
Face Detection (F32)
|
100% |
38868
462.1 IPS |
|
|
Face Detection (F16)
|
100% |
40376
480.1 IPS |
|
|
Face Detection (I8)
|
88% |
33694
400.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
64749
502.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
65992
511.8 IPS |
|
|
Depth Estimation (I8)
|
95% |
50913
394.8 IPS |
|
|
Style Transfer (F32)
|
100% |
226282
297.7 IPS |
|
|
Style Transfer (F16)
|
100% |
221073
290.8 IPS |
|
|
Style Transfer (I8)
|
98% |
207322
272.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
22724
811.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
23771
848.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
18707
668.1 IPS |
|
|
Text Classification (F32)
|
100% |
3553
5.11 KIPS |
|
|
Text Classification (F16)
|
100% |
3497
5.03 KIPS |
|
|
Text Classification (I8)
|
98% |
1980
2.84 KIPS |
|
|
Machine Translation (F32)
|
100% |
4166
76.7 IPS |
|
|
Machine Translation (F16)
|
100% |
4176
76.8 IPS |
|
|
Machine Translation (I8)
|
70% |
2349
43.2 IPS |
