B450 Steel Legend
Geekbench ML Score
8534
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 17 2024 09:22 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | B450 Steel Legend |
| Motherboard | ASRock B450 Steel Legend |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 1600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 8 Stepping 2 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 6 Cores |
| L1 Instruction Cache | 64.0 KB x 6 |
| L1 Data Cache | 32.0 KB x 6 |
| L2 Cache | 512 KB x 6 |
| L3 Cache | 8.00 MB x 2 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 6600 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
5296
991.1 IPS |
|
|
Image Classification (F16)
|
100% |
5181
969.6 IPS |
|
|
Image Classification (I8)
|
100% |
4814
900.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
6040
100.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
6006
100.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
5383
89.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
78017
94.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
76985
93.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
64914
78.6 IPS |
|
|
Object Detection (F32)
|
100% |
1576
117.7 IPS |
|
|
Object Detection (F16)
|
100% |
1572
117.4 IPS |
|
|
Object Detection (I8)
|
62% |
1433
106.9 IPS |
|
|
Face Detection (F32)
|
100% |
13706
163.0 IPS |
|
|
Face Detection (F16)
|
100% |
13781
163.9 IPS |
|
|
Face Detection (I8)
|
89% |
10765
128.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
21910
169.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
21842
169.4 IPS |
|
|
Depth Estimation (I8)
|
95% |
19078
147.9 IPS |
|
|
Style Transfer (F32)
|
100% |
84598
111.3 IPS |
|
|
Style Transfer (F16)
|
100% |
83799
110.2 IPS |
|
|
Style Transfer (I8)
|
98% |
76050
100.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8594
306.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
8917
318.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
7849
280.3 IPS |
|
|
Text Classification (F32)
|
100% |
1772
2.55 KIPS |
|
|
Text Classification (F16)
|
100% |
1779
2.56 KIPS |
|
|
Text Classification (I8)
|
98% |
1323
1.90 KIPS |
|
|
Machine Translation (F32)
|
100% |
2394
44.0 IPS |
|
|
Machine Translation (F16)
|
100% |
2396
44.1 IPS |
|
|
Machine Translation (I8)
|
70% |
1673
30.8 IPS |
