ASUS System Product Name
Geekbench ML Score
9905
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | ruruka |
| Upload Date | November 21 2024 01:15 PM |
| 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% |
4757
890.2 IPS |
|
|
Image Classification (F16)
|
100% |
4770
892.6 IPS |
|
|
Image Classification (I8)
|
99% |
4076
762.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
7340
122.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
7382
123.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
6583
110.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
68355
82.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
68244
82.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
56534
68.5 IPS |
|
|
Object Detection (F32)
|
100% |
4297
320.8 IPS |
|
|
Object Detection (F16)
|
100% |
4308
321.6 IPS |
|
|
Object Detection (I8)
|
60% |
3853
287.7 IPS |
|
|
Face Detection (F32)
|
100% |
15786
187.7 IPS |
|
|
Face Detection (F16)
|
100% |
15792
187.8 IPS |
|
|
Face Detection (I8)
|
88% |
11837
140.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
27519
213.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
27628
214.3 IPS |
|
|
Depth Estimation (I8)
|
95% |
23090
179.1 IPS |
|
|
Style Transfer (F32)
|
100% |
154092
202.7 IPS |
|
|
Style Transfer (F16)
|
100% |
153534
202.0 IPS |
|
|
Style Transfer (I8)
|
98% |
118591
156.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
16469
588.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
16484
588.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
11660
416.4 IPS |
|
|
Text Classification (F32)
|
90% |
756
1.09 KIPS |
|
|
Text Classification (F16)
|
90% |
763
1.10 KIPS |
|
|
Text Classification (I8)
|
90% |
588
845.7 IPS |
|
|
Machine Translation (F32)
|
100% |
2374
43.7 IPS |
|
|
Machine Translation (F16)
|
100% |
2300
42.3 IPS |
|
|
Machine Translation (I8)
|
70% |
1424
26.2 IPS |
