Gigabyte Technology Co., Ltd. B550M AORUS PRO-P
Geekbench ML Score
11488
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | April 26 2024 04:25 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B550M AORUS PRO-P |
| Motherboard | Gigabyte Technology Co., Ltd. B550M AORUS PRO-P |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.70 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 | 32.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3060 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
5823
1.09 KIPS |
|
|
Image Classification (F16)
|
100% |
5815
1.09 KIPS |
|
|
Image Classification (I8)
|
100% |
4241
793.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
9221
154.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
9251
154.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
7342
122.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
67661
81.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
67702
82.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
55391
67.1 IPS |
|
|
Object Detection (F32)
|
100% |
4490
335.2 IPS |
|
|
Object Detection (F16)
|
100% |
4408
329.1 IPS |
|
|
Object Detection (I8)
|
61% |
3587
267.8 IPS |
|
|
Face Detection (F32)
|
100% |
15736
187.1 IPS |
|
|
Face Detection (F16)
|
100% |
15836
188.3 IPS |
|
|
Face Detection (I8)
|
89% |
11965
142.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
30991
240.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
30959
240.1 IPS |
|
|
Depth Estimation (I8)
|
95% |
22619
175.4 IPS |
|
|
Style Transfer (F32)
|
100% |
118428
155.8 IPS |
|
|
Style Transfer (F16)
|
100% |
110180
144.9 IPS |
|
|
Style Transfer (I8)
|
98% |
89208
117.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
21014
750.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
21015
750.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
13385
478.0 IPS |
|
|
Text Classification (F32)
|
100% |
2017
2.90 KIPS |
|
|
Text Classification (F16)
|
100% |
2008
2.89 KIPS |
|
|
Text Classification (I8)
|
98% |
1108
1.59 KIPS |
|
|
Machine Translation (F32)
|
100% |
3532
65.0 IPS |
|
|
Machine Translation (F16)
|
100% |
3535
65.1 IPS |
|
|
Machine Translation (I8)
|
70% |
1588
29.2 IPS |
