Gigabyte Technology Co., Ltd. B550 VISION D-P
Geekbench ML Score
2654
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | brocksuire |
| Upload Date | September 07 2024 12:16 AM |
| Views | 3 |
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% |
1179
220.6 IPS |
|
|
Image Classification (F16)
|
100% |
1202
224.9 IPS |
|
|
Image Classification (I8)
|
97% |
2571
481.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1269
21.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1267
21.2 IPS |
|
|
Image Segmentation (I8)
|
97% |
1856
31.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
6341
7.68 IPS |
|
|
Pose Estimation (F16)
|
100% |
6427
7.78 IPS |
|
|
Pose Estimation (I8)
|
100% |
14807
17.9 IPS |
|
|
Object Detection (F32)
|
100% |
1111
83.0 IPS |
|
|
Object Detection (F16)
|
100% |
1261
94.2 IPS |
|
|
Object Detection (I8)
|
60% |
1240
92.6 IPS |
|
|
Face Detection (F32)
|
100% |
2458
29.2 IPS |
|
|
Face Detection (F16)
|
100% |
2449
29.1 IPS |
|
|
Face Detection (I8)
|
87% |
3558
42.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
5688
44.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
5700
44.2 IPS |
|
|
Depth Estimation (I8)
|
74% |
10827
84.0 IPS |
|
|
Style Transfer (F32)
|
100% |
14053
18.5 IPS |
|
|
Style Transfer (F16)
|
100% |
13018
17.1 IPS |
|
|
Style Transfer (I8)
|
85% |
15869
20.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2056
73.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2220
79.3 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
2701
96.5 IPS |
|
|
Text Classification (F32)
|
100% |
1080
1.55 KIPS |
|
|
Text Classification (F16)
|
100% |
1059
1.52 KIPS |
|
|
Text Classification (I8)
|
94% |
301
432.2 IPS |
|
|
Machine Translation (F32)
|
100% |
1542
28.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1588
29.2 IPS |
|
|
Machine Translation (I8)
|
67% |
2021
37.2 IPS |
