B550M Steel Legend
Geekbench ML Score
12206
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 16 2024 03:21 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | B550M Steel Legend |
| Motherboard | ASRock B550M Steel Legend |
| Power Plan | Gebalanceerd |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 12 Cores |
| L1 Instruction Cache | 32.0 KB x 12 |
| L1 Data Cache | 32.0 KB x 12 |
| L2 Cache | 512 KB x 12 |
| L3 Cache | 32.0 MB x 2 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 6700 XT |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
8325
1.56 KIPS |
|
|
Image Classification (F16)
|
100% |
8365
1.57 KIPS |
|
|
Image Classification (I8)
|
100% |
6770
1.27 KIPS |
|
|
Image Segmentation (F32)
|
100% |
8681
145.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
8579
143.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
7737
129.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
109797
133.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
110106
133.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
90469
109.6 IPS |
|
|
Object Detection (F32)
|
100% |
2848
212.6 IPS |
|
|
Object Detection (F16)
|
100% |
2856
213.2 IPS |
|
|
Object Detection (I8)
|
62% |
2941
219.5 IPS |
|
|
Face Detection (F32)
|
100% |
22036
262.0 IPS |
|
|
Face Detection (F16)
|
100% |
22016
261.8 IPS |
|
|
Face Detection (I8)
|
89% |
17082
203.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
34758
269.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
33527
260.0 IPS |
|
|
Depth Estimation (I8)
|
95% |
20362
157.9 IPS |
|
|
Style Transfer (F32)
|
100% |
103995
136.8 IPS |
|
|
Style Transfer (F16)
|
100% |
104674
137.7 IPS |
|
|
Style Transfer (I8)
|
98% |
91680
120.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9605
343.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
8821
315.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
8249
294.6 IPS |
|
|
Text Classification (F32)
|
100% |
2265
3.26 KIPS |
|
|
Text Classification (F16)
|
100% |
2218
3.19 KIPS |
|
|
Text Classification (I8)
|
98% |
1676
2.41 KIPS |
|
|
Machine Translation (F32)
|
100% |
4189
77.1 IPS |
|
|
Machine Translation (F16)
|
100% |
4199
77.3 IPS |
|
|
Machine Translation (I8)
|
70% |
2745
50.5 IPS |
