ASUS System Product Name
Geekbench ML Score
9756
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | ruruka |
| Upload Date | October 21 2024 11:42 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B550-PLUS |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 32.0 KB x 8 |
| L2 Cache | 512 KB x 8 |
| L3 Cache | 32.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) A750 Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4622
864.8 IPS |
|
|
Image Classification (F16)
|
100% |
4630
866.4 IPS |
|
|
Image Classification (I8)
|
99% |
3926
734.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
7171
119.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
7159
119.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
6412
107.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
70902
85.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
71043
86.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
57818
70.0 IPS |
|
|
Object Detection (F32)
|
100% |
4127
308.1 IPS |
|
|
Object Detection (F16)
|
100% |
4133
308.5 IPS |
|
|
Object Detection (I8)
|
60% |
3698
276.1 IPS |
|
|
Face Detection (F32)
|
100% |
15365
182.7 IPS |
|
|
Face Detection (F16)
|
100% |
15346
182.5 IPS |
|
|
Face Detection (I8)
|
88% |
11547
137.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
27480
213.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
27501
213.3 IPS |
|
|
Depth Estimation (I8)
|
95% |
22892
177.5 IPS |
|
|
Style Transfer (F32)
|
100% |
154667
203.5 IPS |
|
|
Style Transfer (F16)
|
100% |
154583
203.3 IPS |
|
|
Style Transfer (I8)
|
98% |
118702
156.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
16396
585.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
16334
583.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
11770
420.3 IPS |
|
|
Text Classification (F32)
|
90% |
735
1.06 KIPS |
|
|
Text Classification (F16)
|
90% |
725
1.04 KIPS |
|
|
Text Classification (I8)
|
90% |
571
820.5 IPS |
|
|
Machine Translation (F32)
|
100% |
2309
42.5 IPS |
|
|
Machine Translation (F16)
|
100% |
2306
42.4 IPS |
|
|
Machine Translation (I8)
|
70% |
1375
25.3 IPS |
