Gigabyte Technology Co., Ltd. B550 VISION D-P
Geekbench ML Score
3768
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | mdbk |
| Upload Date | August 17 2024 01:57 PM |
| 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 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 16 Cores |
| L1 Instruction Cache | 32.0 KB x 16 |
| L1 Data Cache | 32.0 KB x 16 |
| L2 Cache | 512 KB x 16 |
| L3 Cache | 32.0 MB x 2 |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1677
313.8 IPS |
|
|
Image Classification (F16)
|
100% |
1689
316.1 IPS |
|
|
Image Classification (I8)
|
97% |
3464
648.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1971
32.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1948
32.5 IPS |
|
|
Image Segmentation (I8)
|
97% |
2554
42.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
11874
14.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
11772
14.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
21582
26.1 IPS |
|
|
Object Detection (F32)
|
100% |
1840
137.4 IPS |
|
|
Object Detection (F16)
|
100% |
1805
134.8 IPS |
|
|
Object Detection (I8)
|
60% |
1707
127.5 IPS |
|
|
Face Detection (F32)
|
100% |
3224
38.3 IPS |
|
|
Face Detection (F16)
|
100% |
3301
39.3 IPS |
|
|
Face Detection (I8)
|
87% |
4269
50.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
8955
69.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
8893
69.0 IPS |
|
|
Depth Estimation (I8)
|
74% |
14508
112.5 IPS |
|
|
Style Transfer (F32)
|
100% |
23299
30.6 IPS |
|
|
Style Transfer (F16)
|
100% |
21722
28.6 IPS |
|
|
Style Transfer (I8)
|
85% |
21486
28.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2607
93.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2925
104.5 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
3559
127.1 IPS |
|
|
Text Classification (F32)
|
100% |
1355
1.95 KIPS |
|
|
Text Classification (F16)
|
100% |
1312
1.89 KIPS |
|
|
Text Classification (I8)
|
94% |
363
521.2 IPS |
|
|
Machine Translation (F32)
|
100% |
2063
38.0 IPS |
|
|
Machine Translation (F16)
|
100% |
2030
37.4 IPS |
|
|
Machine Translation (I8)
|
67% |
2799
51.5 IPS |
