B450 Steel Legend
Geekbench ML Score
11615
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | Redwoodz |
| Upload Date | February 06 2024 11:47 AM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | B450 Steel Legend |
| Motherboard | ASRock B450 Steel Legend |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700G |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 4.80 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 | 16.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 6650 XT |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
6889
1.29 KIPS |
|
|
Image Classification (F16)
|
100% |
6881
1.29 KIPS |
|
|
Image Classification (I8)
|
100% |
5889
1.10 KIPS |
|
|
Image Segmentation (F32)
|
100% |
7167
119.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
7462
124.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
6398
106.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
89842
108.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
85581
103.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
75255
91.1 IPS |
|
|
Object Detection (F32)
|
100% |
3078
229.8 IPS |
|
|
Object Detection (F16)
|
100% |
3541
264.4 IPS |
|
|
Object Detection (I8)
|
62% |
2695
201.2 IPS |
|
|
Face Detection (F32)
|
100% |
17154
204.0 IPS |
|
|
Face Detection (F16)
|
100% |
17111
203.5 IPS |
|
|
Face Detection (I8)
|
89% |
13213
157.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
34480
267.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
35189
272.9 IPS |
|
|
Depth Estimation (I8)
|
95% |
25467
197.5 IPS |
|
|
Style Transfer (F32)
|
100% |
118124
155.4 IPS |
|
|
Style Transfer (F16)
|
100% |
118279
155.6 IPS |
|
|
Style Transfer (I8)
|
98% |
81177
106.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
14001
500.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
14313
511.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
11199
399.9 IPS |
|
|
Text Classification (F32)
|
100% |
2395
3.44 KIPS |
|
|
Text Classification (F16)
|
100% |
2399
3.45 KIPS |
|
|
Text Classification (I8)
|
98% |
1738
2.50 KIPS |
|
|
Machine Translation (F32)
|
100% |
2932
54.0 IPS |
|
|
Machine Translation (F16)
|
100% |
2949
54.3 IPS |
|
|
Machine Translation (I8)
|
70% |
2090
38.5 IPS |
