Gigabyte Technology Co., Ltd. B550M AORUS PRO-P
Geekbench ML Score
11482
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | April 26 2024 04:38 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% |
5716
1.07 KIPS |
|
|
Image Classification (F16)
|
100% |
5863
1.10 KIPS |
|
|
Image Classification (I8)
|
100% |
4257
796.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
9204
153.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
9205
153.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
7414
123.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
67619
81.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
67579
81.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
55341
67.0 IPS |
|
|
Object Detection (F32)
|
100% |
4389
327.6 IPS |
|
|
Object Detection (F16)
|
100% |
4495
335.6 IPS |
|
|
Object Detection (I8)
|
61% |
3612
269.6 IPS |
|
|
Face Detection (F32)
|
100% |
15872
188.7 IPS |
|
|
Face Detection (F16)
|
100% |
15874
188.7 IPS |
|
|
Face Detection (I8)
|
89% |
11968
142.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
30922
239.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
30904
239.7 IPS |
|
|
Depth Estimation (I8)
|
95% |
22530
174.7 IPS |
|
|
Style Transfer (F32)
|
100% |
118276
155.6 IPS |
|
|
Style Transfer (F16)
|
100% |
110399
145.2 IPS |
|
|
Style Transfer (I8)
|
98% |
86450
113.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
20206
721.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
20878
745.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
13267
473.8 IPS |
|
|
Text Classification (F32)
|
100% |
2064
2.97 KIPS |
|
|
Text Classification (F16)
|
100% |
2068
2.97 KIPS |
|
|
Text Classification (I8)
|
98% |
1122
1.61 KIPS |
|
|
Machine Translation (F32)
|
100% |
3545
65.2 IPS |
|
|
Machine Translation (F16)
|
100% |
3546
65.3 IPS |
|
|
Machine Translation (I8)
|
70% |
1585
29.2 IPS |
