Gigabyte Technology Co., Ltd. B550 VISION D-P
Geekbench ML Score
10451
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | brocksuire |
| Upload Date | October 11 2024 04:47 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 | DirectML |
| Device | AMD Radeon VII |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4752
889.3 IPS |
|
|
Image Classification (F16)
|
100% |
4740
886.9 IPS |
|
|
Image Classification (I8)
|
100% |
3763
704.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
6500
108.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
6546
109.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
5654
94.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
95775
116.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
94204
114.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
78264
94.8 IPS |
|
|
Object Detection (F32)
|
100% |
3582
267.4 IPS |
|
|
Object Detection (F16)
|
100% |
3684
275.0 IPS |
|
|
Object Detection (I8)
|
66% |
3285
245.3 IPS |
|
|
Face Detection (F32)
|
100% |
15672
186.3 IPS |
|
|
Face Detection (F16)
|
100% |
15427
183.4 IPS |
|
|
Face Detection (I8)
|
89% |
11741
139.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
30338
235.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
30655
237.7 IPS |
|
|
Depth Estimation (I8)
|
95% |
21655
167.9 IPS |
|
|
Style Transfer (F32)
|
100% |
157626
207.3 IPS |
|
|
Style Transfer (F16)
|
100% |
156919
206.4 IPS |
|
|
Style Transfer (I8)
|
98% |
126744
166.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
19619
700.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
17967
641.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
14133
504.7 IPS |
|
|
Text Classification (F32)
|
100% |
1382
1.99 KIPS |
|
|
Text Classification (F16)
|
100% |
1336
1.92 KIPS |
|
|
Text Classification (I8)
|
98% |
824
1.18 KIPS |
|
|
Machine Translation (F32)
|
100% |
1981
36.5 IPS |
|
|
Machine Translation (F16)
|
100% |
2007
36.9 IPS |
|
|
Machine Translation (I8)
|
69% |
1116
20.5 IPS |
