Gigabyte Technology Co., Ltd. B550 VISION D-P
Geekbench ML Score
6611
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | brocksuire |
| Upload Date | September 07 2024 12:17 AM |
| Views | 4 |
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 RX 5500 XT |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3239
606.1 IPS |
|
|
Image Classification (F16)
|
100% |
3225
603.4 IPS |
|
|
Image Classification (I8)
|
99% |
2763
516.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
3449
57.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
3455
57.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
3107
51.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
46110
55.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
46293
56.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
38865
47.1 IPS |
|
|
Object Detection (F32)
|
100% |
2530
188.9 IPS |
|
|
Object Detection (F16)
|
100% |
2412
180.1 IPS |
|
|
Object Detection (I8)
|
67% |
1732
129.3 IPS |
|
|
Face Detection (F32)
|
100% |
9771
116.2 IPS |
|
|
Face Detection (F16)
|
100% |
9886
117.5 IPS |
|
|
Face Detection (I8)
|
89% |
7815
92.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
20510
159.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
20756
161.0 IPS |
|
|
Depth Estimation (I8)
|
95% |
14304
110.9 IPS |
|
|
Style Transfer (F32)
|
100% |
55605
73.1 IPS |
|
|
Style Transfer (F16)
|
100% |
55561
73.1 IPS |
|
|
Style Transfer (I8)
|
98% |
48080
63.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6649
237.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6586
235.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5627
201.0 IPS |
|
|
Text Classification (F32)
|
100% |
1428
2.05 KIPS |
|
|
Text Classification (F16)
|
100% |
1432
2.06 KIPS |
|
|
Text Classification (I8)
|
98% |
1025
1.47 KIPS |
|
|
Machine Translation (F32)
|
100% |
2653
48.8 IPS |
|
|
Machine Translation (F16)
|
100% |
2682
49.4 IPS |
|
|
Machine Translation (I8)
|
69% |
1731
31.9 IPS |
