ASUS System Product Name
Geekbench ML Score
26131
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | May 08 2025 11:35 AM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X670E HERO |
| 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 9070 XT |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
14091
2.64 KIPS |
|
|
Image Classification (F16)
|
100% |
14632
2.74 KIPS |
|
|
Image Classification (I8)
|
100% |
13440
2.51 KIPS |
|
|
Image Segmentation (F32)
|
100% |
12247
204.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
18345
306.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
16841
281.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
217108
262.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
190891
231.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
188099
227.8 IPS |
|
|
Object Detection (F32)
|
100% |
7369
550.2 IPS |
|
|
Object Detection (F16)
|
100% |
7427
554.5 IPS |
|
|
Object Detection (I8)
|
56% |
6910
515.8 IPS |
|
|
Face Detection (F32)
|
100% |
43523
517.5 IPS |
|
|
Face Detection (F16)
|
100% |
42369
503.8 IPS |
|
|
Face Detection (I8)
|
89% |
36116
429.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
74249
575.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
72980
566.0 IPS |
|
|
Depth Estimation (I8)
|
95% |
61509
477.0 IPS |
|
|
Style Transfer (F32)
|
100% |
354744
466.6 IPS |
|
|
Style Transfer (F16)
|
100% |
319066
419.7 IPS |
|
|
Style Transfer (I8)
|
98% |
206828
272.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
40845
1.46 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
24663
880.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
29913
1.07 KIPS |
|
|
Text Classification (F32)
|
100% |
4064
5.84 KIPS |
|
|
Text Classification (F16)
|
100% |
4149
5.96 KIPS |
|
|
Text Classification (I8)
|
98% |
2761
3.97 KIPS |
|
|
Machine Translation (F32)
|
100% |
6202
114.1 IPS |
|
|
Machine Translation (F16)
|
100% |
6055
111.4 IPS |
|
|
Machine Translation (I8)
|
70% |
3866
71.1 IPS |
