ASUS System Product Name
Geekbench ML Score
17871
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | March 01 2025 11:47 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ProArt X670E-CREATOR WIFI |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9900X 12-Core Processor |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 12 Cores |
| L1 Instruction Cache | 32.0 KB x 12 |
| L1 Data Cache | 48.0 KB x 12 |
| L2 Cache | 1.00 MB x 12 |
| L3 Cache | 32.0 MB x 2 |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3090 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
8201
1.53 KIPS |
|
|
Image Classification (F16)
|
100% |
9045
1.69 KIPS |
|
|
Image Classification (I8)
|
100% |
5787
1.08 KIPS |
|
|
Image Segmentation (F32)
|
100% |
12941
216.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
12897
215.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
9734
162.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
159669
193.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
160491
194.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
117102
141.8 IPS |
|
|
Object Detection (F32)
|
100% |
7230
539.7 IPS |
|
|
Object Detection (F16)
|
100% |
7132
532.4 IPS |
|
|
Object Detection (I8)
|
56% |
5470
408.4 IPS |
|
|
Face Detection (F32)
|
100% |
28670
340.9 IPS |
|
|
Face Detection (F16)
|
100% |
29343
348.9 IPS |
|
|
Face Detection (I8)
|
89% |
19127
227.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
56860
441.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
51607
400.2 IPS |
|
|
Depth Estimation (I8)
|
94% |
31575
244.9 IPS |
|
|
Style Transfer (F32)
|
100% |
240918
316.9 IPS |
|
|
Style Transfer (F16)
|
100% |
240964
317.0 IPS |
|
|
Style Transfer (I8)
|
98% |
170115
223.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
35494
1.27 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
34951
1.25 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
19682
702.9 IPS |
|
|
Text Classification (F32)
|
100% |
2544
3.66 KIPS |
|
|
Text Classification (F16)
|
100% |
2509
3.61 KIPS |
|
|
Text Classification (I8)
|
98% |
1219
1.75 KIPS |
|
|
Machine Translation (F32)
|
100% |
3728
68.6 IPS |
|
|
Machine Translation (F16)
|
100% |
3728
68.6 IPS |
|
|
Machine Translation (I8)
|
70% |
1601
29.5 IPS |
