Gigabyte Technology Co., Ltd. B550 VISION D-P
Geekbench ML Score
13740
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | brocksuire |
| Upload Date | September 07 2024 12:14 AM |
| 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 RX 6650 XT |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
6516
1.22 KIPS |
|
|
Image Classification (F16)
|
100% |
6527
1.22 KIPS |
|
|
Image Classification (I8)
|
100% |
5377
1.01 KIPS |
|
|
Image Segmentation (F32)
|
100% |
9763
163.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
9934
165.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
8343
139.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
89737
108.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
90147
109.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
73014
88.4 IPS |
|
|
Object Detection (F32)
|
100% |
3846
287.1 IPS |
|
|
Object Detection (F16)
|
100% |
3901
291.2 IPS |
|
|
Object Detection (I8)
|
62% |
3625
270.6 IPS |
|
|
Face Detection (F32)
|
100% |
17635
209.7 IPS |
|
|
Face Detection (F16)
|
100% |
17799
211.6 IPS |
|
|
Face Detection (I8)
|
89% |
13371
159.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
39241
304.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
39049
302.8 IPS |
|
|
Depth Estimation (I8)
|
95% |
31586
245.0 IPS |
|
|
Style Transfer (F32)
|
100% |
168721
221.9 IPS |
|
|
Style Transfer (F16)
|
100% |
172648
227.1 IPS |
|
|
Style Transfer (I8)
|
98% |
140302
184.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
26631
951.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
27052
966.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
19359
691.4 IPS |
|
|
Text Classification (F32)
|
100% |
2153
3.09 KIPS |
|
|
Text Classification (F16)
|
100% |
2166
3.11 KIPS |
|
|
Text Classification (I8)
|
98% |
1648
2.37 KIPS |
|
|
Machine Translation (F32)
|
100% |
3423
63.0 IPS |
|
|
Machine Translation (F16)
|
100% |
3414
62.8 IPS |
|
|
Machine Translation (I8)
|
70% |
2235
41.1 IPS |
