ASUS System Product Name
Geekbench ML Score
22688
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 16 2024 10:04 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B650E-F GAMING WIFI |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 6 Cores |
| L1 Instruction Cache | 32.0 KB x 6 |
| L1 Data Cache | 32.0 KB x 6 |
| L2 Cache | 1.00 MB x 6 |
| L3 Cache | 32.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7900 XT |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
13294
2.49 KIPS |
|
|
Image Classification (F16)
|
100% |
13258
2.48 KIPS |
|
|
Image Classification (I8)
|
100% |
11350
2.12 KIPS |
|
|
Image Segmentation (F32)
|
100% |
14861
248.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
15010
250.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
13760
229.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
249937
302.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
245757
297.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
211125
255.7 IPS |
|
|
Object Detection (F32)
|
100% |
5306
396.1 IPS |
|
|
Object Detection (F16)
|
100% |
5225
390.1 IPS |
|
|
Object Detection (I8)
|
56% |
5907
441.0 IPS |
|
|
Face Detection (F32)
|
100% |
41110
488.8 IPS |
|
|
Face Detection (F16)
|
100% |
41228
490.2 IPS |
|
|
Face Detection (I8)
|
89% |
34898
414.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
67737
525.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
67586
524.1 IPS |
|
|
Depth Estimation (I8)
|
95% |
55786
432.6 IPS |
|
|
Style Transfer (F32)
|
100% |
218644
287.6 IPS |
|
|
Style Transfer (F16)
|
100% |
221974
292.0 IPS |
|
|
Style Transfer (I8)
|
98% |
195727
257.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
23413
836.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
23015
821.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
18306
653.8 IPS |
|
|
Text Classification (F32)
|
100% |
3929
5.65 KIPS |
|
|
Text Classification (F16)
|
100% |
3939
5.66 KIPS |
|
|
Text Classification (I8)
|
98% |
2561
3.68 KIPS |
|
|
Machine Translation (F32)
|
100% |
4668
85.9 IPS |
|
|
Machine Translation (F16)
|
100% |
4670
85.9 IPS |
|
|
Machine Translation (I8)
|
70% |
2961
54.5 IPS |
