ASUS System Product Name
Geekbench ML Score
26992
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | May 14 2025 10:51 AM |
| Views | 7 |
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% |
14507
2.71 KIPS |
|
|
Image Classification (F16)
|
100% |
14560
2.72 KIPS |
|
|
Image Classification (I8)
|
100% |
13959
2.61 KIPS |
|
|
Image Segmentation (F32)
|
100% |
13429
224.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
19906
332.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
18888
315.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
202529
245.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
189925
230.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
187676
227.3 IPS |
|
|
Object Detection (F32)
|
100% |
7266
542.5 IPS |
|
|
Object Detection (F16)
|
100% |
7587
566.4 IPS |
|
|
Object Detection (I8)
|
56% |
7071
527.9 IPS |
|
|
Face Detection (F32)
|
100% |
38976
463.4 IPS |
|
|
Face Detection (F16)
|
100% |
44548
529.7 IPS |
|
|
Face Detection (I8)
|
89% |
36064
428.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
73781
572.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
74014
574.0 IPS |
|
|
Depth Estimation (I8)
|
95% |
62901
487.8 IPS |
|
|
Style Transfer (F32)
|
100% |
341834
449.7 IPS |
|
|
Style Transfer (F16)
|
100% |
326171
429.0 IPS |
|
|
Style Transfer (I8)
|
98% |
309955
407.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
41462
1.48 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
43424
1.55 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
30899
1.10 KIPS |
|
|
Text Classification (F32)
|
100% |
3657
5.26 KIPS |
|
|
Text Classification (F16)
|
100% |
4011
5.76 KIPS |
|
|
Text Classification (I8)
|
98% |
2645
3.80 KIPS |
|
|
Machine Translation (F32)
|
100% |
5707
105.0 IPS |
|
|
Machine Translation (F16)
|
100% |
6191
113.9 IPS |
|
|
Machine Translation (I8)
|
70% |
3643
67.0 IPS |
