Gigabyte Technology Co., Ltd. B550 VISION D-P
Geekbench ML Score
10467
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | brocksuire |
| Upload Date | October 11 2024 04:50 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% |
4664
872.7 IPS |
|
|
Image Classification (F16)
|
100% |
4601
861.0 IPS |
|
|
Image Classification (I8)
|
100% |
3695
691.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
6441
107.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
6475
108.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
5569
93.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
94767
114.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
93319
113.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
77431
93.8 IPS |
|
|
Object Detection (F32)
|
100% |
3584
267.5 IPS |
|
|
Object Detection (F16)
|
100% |
3655
272.9 IPS |
|
|
Object Detection (I8)
|
66% |
3294
245.9 IPS |
|
|
Face Detection (F32)
|
100% |
15539
184.8 IPS |
|
|
Face Detection (F16)
|
100% |
14637
174.0 IPS |
|
|
Face Detection (I8)
|
89% |
11728
139.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
31423
243.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
30690
238.0 IPS |
|
|
Depth Estimation (I8)
|
95% |
23458
181.9 IPS |
|
|
Style Transfer (F32)
|
100% |
157144
206.7 IPS |
|
|
Style Transfer (F16)
|
100% |
161417
212.3 IPS |
|
|
Style Transfer (I8)
|
98% |
126430
166.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
19644
701.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
19340
690.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
14067
502.4 IPS |
|
|
Text Classification (F32)
|
100% |
1379
1.98 KIPS |
|
|
Text Classification (F16)
|
100% |
1381
1.98 KIPS |
|
|
Text Classification (I8)
|
98% |
806
1.16 KIPS |
|
|
Machine Translation (F32)
|
100% |
2023
37.2 IPS |
|
|
Machine Translation (F16)
|
100% |
2023
37.2 IPS |
|
|
Machine Translation (I8)
|
69% |
1113
20.5 IPS |
