ASUS System Product Name
Geekbench ML Score
1723
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | teknoseyir |
| Upload Date | October 03 2024 12:11 PM |
| Views | 3 |
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 7 9700X 8-Core Processor |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 48.0 KB x 8 |
| L2 Cache | 1.00 MB x 8 |
| L3 Cache | 32.0 MB x 1 |
| 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% |
607
113.6 IPS |
|
|
Image Classification (F16)
|
100% |
607
113.6 IPS |
|
|
Image Classification (I8)
|
100% |
573
107.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1096
18.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1095
18.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
965
16.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
6424
7.78 IPS |
|
|
Pose Estimation (F16)
|
100% |
6434
7.79 IPS |
|
|
Pose Estimation (I8)
|
100% |
5724
6.93 IPS |
|
|
Object Detection (F32)
|
100% |
671
50.1 IPS |
|
|
Object Detection (F16)
|
100% |
667
49.8 IPS |
|
|
Object Detection (I8)
|
62% |
633
47.3 IPS |
|
|
Face Detection (F32)
|
100% |
1786
21.2 IPS |
|
|
Face Detection (F16)
|
100% |
1780
21.2 IPS |
|
|
Face Detection (I8)
|
89% |
1541
18.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
3417
26.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
3407
26.4 IPS |
|
|
Depth Estimation (I8)
|
94% |
3123
24.2 IPS |
|
|
Style Transfer (F32)
|
100% |
10956
14.4 IPS |
|
|
Style Transfer (F16)
|
100% |
10908
14.3 IPS |
|
|
Style Transfer (I8)
|
98% |
9649
12.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2737
97.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2758
98.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2116
75.6 IPS |
|
|
Text Classification (F32)
|
100% |
685
985.1 IPS |
|
|
Text Classification (F16)
|
100% |
686
985.6 IPS |
|
|
Text Classification (I8)
|
98% |
483
694.0 IPS |
|
|
Machine Translation (F32)
|
100% |
1230
22.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1229
22.6 IPS |
|
|
Machine Translation (I8)
|
70% |
666
12.3 IPS |
