Gigabyte Technology Co., Ltd. B550M AORUS ELITE
Geekbench ML Score
1882
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | May 08 2024 01:00 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B550M AORUS ELITE |
| Motherboard | Gigabyte Technology Co., Ltd. B550M AORUS ELITE |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600G |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 6 Cores |
| L1 Instruction Cache | 32.0 KB x 6 |
| L1 Data Cache | 32.0 KB x 6 |
| L2 Cache | 512 KB x 6 |
| L3 Cache | 16.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
815
152.4 IPS |
|
|
Image Classification (F16)
|
100% |
815
152.4 IPS |
|
|
Image Classification (I8)
|
99% |
647
121.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
848
14.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
854
14.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
731
12.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
9731
11.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
9731
11.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
7175
8.69 IPS |
|
|
Object Detection (F32)
|
100% |
856
63.9 IPS |
|
|
Object Detection (F16)
|
100% |
828
61.9 IPS |
|
|
Object Detection (I8)
|
67% |
705
52.6 IPS |
|
|
Face Detection (F32)
|
100% |
1456
17.3 IPS |
|
|
Face Detection (F16)
|
100% |
1462
17.4 IPS |
|
|
Face Detection (I8)
|
89% |
1131
13.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
4430
34.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
4412
34.2 IPS |
|
|
Depth Estimation (I8)
|
94% |
3337
25.9 IPS |
|
|
Style Transfer (F32)
|
100% |
16896
22.2 IPS |
|
|
Style Transfer (F16)
|
100% |
16768
22.1 IPS |
|
|
Style Transfer (I8)
|
98% |
11875
15.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3163
112.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3176
113.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
1996
71.3 IPS |
|
|
Text Classification (F32)
|
100% |
762
1.09 KIPS |
|
|
Text Classification (F16)
|
100% |
796
1.14 KIPS |
|
|
Text Classification (I8)
|
98% |
530
761.9 IPS |
|
|
Machine Translation (F32)
|
100% |
1092
20.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1088
20.0 IPS |
|
|
Machine Translation (I8)
|
69% |
558
10.3 IPS |
