Gigabyte Technology Co., Ltd. B550 VISION D-P
Geekbench ML Score
3091
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | brocksuire |
| Upload Date | October 13 2024 04:26 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B550 VISION D-P |
| Motherboard | Gigabyte Technology Co., Ltd. B550 VISION D-P |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 12 Cores |
| L1 Instruction Cache | 32.0 KB x 12 |
| L1 Data Cache | 32.0 KB x 12 |
| L2 Cache | 512 KB x 12 |
| L3 Cache | 32.0 MB x 2 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1424
266.5 IPS |
|
|
Image Classification (F16)
|
100% |
1150
215.2 IPS |
|
|
Image Classification (I8)
|
97% |
3002
561.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1647
27.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1723
28.8 IPS |
|
|
Image Segmentation (I8)
|
97% |
2140
35.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
7907
9.57 IPS |
|
|
Pose Estimation (F16)
|
100% |
8944
10.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
16681
20.2 IPS |
|
|
Object Detection (F32)
|
100% |
1470
109.7 IPS |
|
|
Object Detection (F16)
|
100% |
1652
123.3 IPS |
|
|
Object Detection (I8)
|
60% |
1405
104.9 IPS |
|
|
Face Detection (F32)
|
100% |
2723
32.4 IPS |
|
|
Face Detection (F16)
|
100% |
2711
32.2 IPS |
|
|
Face Detection (I8)
|
87% |
3716
44.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
5639
43.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
5679
44.0 IPS |
|
|
Depth Estimation (I8)
|
74% |
11261
87.3 IPS |
|
|
Style Transfer (F32)
|
100% |
18096
23.8 IPS |
|
|
Style Transfer (F16)
|
100% |
16000
21.0 IPS |
|
|
Style Transfer (I8)
|
85% |
17815
23.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2197
78.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2546
90.9 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
3150
112.5 IPS |
|
|
Text Classification (F32)
|
100% |
1278
1.84 KIPS |
|
|
Text Classification (F16)
|
100% |
1290
1.85 KIPS |
|
|
Text Classification (I8)
|
94% |
309
444.5 IPS |
|
|
Machine Translation (F32)
|
100% |
1995
36.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1922
35.4 IPS |
|
|
Machine Translation (I8)
|
67% |
2411
44.4 IPS |
