Gigabyte Technology Co., Ltd. B550 VISION D-P
Geekbench ML Score
11504
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | brocksuire |
| Upload Date | October 19 2024 01:26 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 VII |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
5435
1.02 KIPS |
|
|
Image Classification (F16)
|
100% |
5426
1.02 KIPS |
|
|
Image Classification (I8)
|
100% |
4207
787.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
7719
128.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
7701
128.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
6569
109.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
98848
119.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
97516
118.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
80387
97.3 IPS |
|
|
Object Detection (F32)
|
100% |
4081
304.7 IPS |
|
|
Object Detection (F16)
|
100% |
4176
311.8 IPS |
|
|
Object Detection (I8)
|
66% |
3543
264.5 IPS |
|
|
Face Detection (F32)
|
100% |
18341
218.1 IPS |
|
|
Face Detection (F16)
|
100% |
18269
217.2 IPS |
|
|
Face Detection (I8)
|
89% |
13614
161.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
32769
254.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
32912
255.2 IPS |
|
|
Depth Estimation (I8)
|
95% |
24217
187.8 IPS |
|
|
Style Transfer (F32)
|
100% |
163656
215.3 IPS |
|
|
Style Transfer (F16)
|
100% |
163343
214.9 IPS |
|
|
Style Transfer (I8)
|
98% |
131216
172.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
19140
683.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
18877
674.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
13429
479.6 IPS |
|
|
Text Classification (F32)
|
100% |
1498
2.15 KIPS |
|
|
Text Classification (F16)
|
100% |
1497
2.15 KIPS |
|
|
Text Classification (I8)
|
98% |
850
1.22 KIPS |
|
|
Machine Translation (F32)
|
100% |
2444
45.0 IPS |
|
|
Machine Translation (F16)
|
100% |
2455
45.2 IPS |
|
|
Machine Translation (I8)
|
69% |
1275
23.5 IPS |
