Gigabyte Technology Co., Ltd. B450M DS3H
Geekbench ML Score
10618
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 19 2024 10:42 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B450M DS3H |
| Motherboard | Gigabyte Technology Co., Ltd. B450M DS3H-CF |
| Power Plan | AMD Ryzen Balanced |
| 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 | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3060 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
5580
1.04 KIPS |
|
|
Image Classification (F16)
|
100% |
5569
1.04 KIPS |
|
|
Image Classification (I8)
|
100% |
4076
762.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
8151
136.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
7909
132.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
6529
109.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
64044
77.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
65618
79.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
53870
65.2 IPS |
|
|
Object Detection (F32)
|
100% |
4092
305.5 IPS |
|
|
Object Detection (F16)
|
100% |
4091
305.4 IPS |
|
|
Object Detection (I8)
|
61% |
3540
264.3 IPS |
|
|
Face Detection (F32)
|
100% |
14345
170.6 IPS |
|
|
Face Detection (F16)
|
100% |
14022
166.7 IPS |
|
|
Face Detection (I8)
|
89% |
10891
129.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
27935
216.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
27933
216.6 IPS |
|
|
Depth Estimation (I8)
|
95% |
20249
157.0 IPS |
|
|
Style Transfer (F32)
|
100% |
113323
149.1 IPS |
|
|
Style Transfer (F16)
|
100% |
106537
140.1 IPS |
|
|
Style Transfer (I8)
|
98% |
85011
111.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
19884
710.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
19986
713.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
12627
451.0 IPS |
|
|
Text Classification (F32)
|
100% |
1931
2.77 KIPS |
|
|
Text Classification (F16)
|
100% |
1937
2.78 KIPS |
|
|
Text Classification (I8)
|
98% |
1067
1.53 KIPS |
|
|
Machine Translation (F32)
|
100% |
2892
53.2 IPS |
|
|
Machine Translation (F16)
|
100% |
2893
53.2 IPS |
|
|
Machine Translation (I8)
|
70% |
1422
26.2 IPS |
