Gigabyte Technology Co., Ltd. B550I AORUS PRO AX
Geekbench ML Score
3796
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | January 07 2024 07:06 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B550I AORUS PRO AX |
| Motherboard | Gigabyte Technology Co., Ltd. B550I AORUS PRO AX |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 32.0 KB x 8 |
| L2 Cache | 512 KB x 8 |
| L3 Cache | 96.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1984
371.2 IPS |
|
|
Image Classification (F16)
|
100% |
2211
413.8 IPS |
|
|
Image Classification (I8)
|
97% |
3689
690.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1924
32.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
2085
34.8 IPS |
|
|
Image Segmentation (I8)
|
97% |
2018
33.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
6486
7.85 IPS |
|
|
Pose Estimation (F16)
|
100% |
6489
7.86 IPS |
|
|
Pose Estimation (I8)
|
100% |
12586
15.2 IPS |
|
|
Object Detection (F32)
|
100% |
2177
162.5 IPS |
|
|
Object Detection (F16)
|
100% |
2177
162.5 IPS |
|
|
Object Detection (I8)
|
60% |
1997
149.1 IPS |
|
|
Face Detection (F32)
|
100% |
6144
73.1 IPS |
|
|
Face Detection (F16)
|
100% |
5908
70.2 IPS |
|
|
Face Detection (I8)
|
87% |
5232
62.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
8153
63.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
8162
63.3 IPS |
|
|
Depth Estimation (I8)
|
74% |
13058
101.3 IPS |
|
|
Style Transfer (F32)
|
100% |
15562
20.5 IPS |
|
|
Style Transfer (F16)
|
100% |
14649
19.3 IPS |
|
|
Style Transfer (I8)
|
85% |
17743
23.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2956
105.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2135
76.2 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
3760
134.3 IPS |
|
|
Text Classification (F32)
|
100% |
1786
2.57 KIPS |
|
|
Text Classification (F16)
|
100% |
1883
2.71 KIPS |
|
|
Text Classification (I8)
|
94% |
362
519.8 IPS |
|
|
Machine Translation (F32)
|
100% |
2689
49.5 IPS |
|
|
Machine Translation (F16)
|
100% |
2701
49.7 IPS |
|
|
Machine Translation (I8)
|
67% |
2617
48.2 IPS |
