ASUS System Product Name
Geekbench ML Score
1726
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | teknoseyir |
| Upload Date | September 10 2024 11:25 AM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX X870E-E GAMING WIFI |
| Power Plan | Dengeli |
| 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 | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
608
113.8 IPS |
|
|
Image Classification (F16)
|
100% |
608
113.8 IPS |
|
|
Image Classification (I8)
|
100% |
574
107.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1099
18.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1093
18.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
962
16.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
6462
7.82 IPS |
|
|
Pose Estimation (F16)
|
100% |
6417
7.77 IPS |
|
|
Pose Estimation (I8)
|
100% |
5755
6.97 IPS |
|
|
Object Detection (F32)
|
100% |
670
50.0 IPS |
|
|
Object Detection (F16)
|
100% |
670
50.0 IPS |
|
|
Object Detection (I8)
|
62% |
635
47.4 IPS |
|
|
Face Detection (F32)
|
100% |
1775
21.1 IPS |
|
|
Face Detection (F16)
|
100% |
1776
21.1 IPS |
|
|
Face Detection (I8)
|
89% |
1540
18.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
3412
26.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
3416
26.5 IPS |
|
|
Depth Estimation (I8)
|
94% |
3099
24.0 IPS |
|
|
Style Transfer (F32)
|
100% |
10960
14.4 IPS |
|
|
Style Transfer (F16)
|
100% |
10936
14.4 IPS |
|
|
Style Transfer (I8)
|
98% |
9710
12.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2746
98.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2757
98.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2125
75.9 IPS |
|
|
Text Classification (F32)
|
100% |
700
1.01 KIPS |
|
|
Text Classification (F16)
|
100% |
695
999.4 IPS |
|
|
Text Classification (I8)
|
98% |
483
694.1 IPS |
|
|
Machine Translation (F32)
|
100% |
1229
22.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1229
22.6 IPS |
|
|
Machine Translation (I8)
|
70% |
666
12.2 IPS |
