Gigabyte Technology Co., Ltd. B550 VISION D-P
Geekbench ML Score
10002
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | brocksuire |
| Upload Date | October 13 2024 04:23 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% |
5382
1.01 KIPS |
|
|
Image Classification (F16)
|
100% |
5370
1.00 KIPS |
|
|
Image Classification (I8)
|
100% |
4154
777.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
6349
106.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
6354
106.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
5385
89.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
101420
122.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
104202
126.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
84261
102.0 IPS |
|
|
Object Detection (F32)
|
100% |
3978
297.0 IPS |
|
|
Object Detection (F16)
|
100% |
3913
292.1 IPS |
|
|
Object Detection (I8)
|
71% |
3462
258.5 IPS |
|
|
Face Detection (F32)
|
100% |
18985
225.7 IPS |
|
|
Face Detection (F16)
|
100% |
19032
226.3 IPS |
|
|
Face Detection (I8)
|
90% |
14007
166.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
35337
274.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
35189
272.9 IPS |
|
|
Depth Estimation (I8)
|
95% |
25356
196.6 IPS |
|
|
Style Transfer (F32)
|
100% |
101978
134.1 IPS |
|
|
Style Transfer (F16)
|
100% |
99559
131.0 IPS |
|
|
Style Transfer (I8)
|
98% |
86062
113.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
12592
449.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
12501
446.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
7918
282.8 IPS |
|
|
Text Classification (F32)
|
100% |
1091
1.57 KIPS |
|
|
Text Classification (F16)
|
100% |
1084
1.56 KIPS |
|
|
Text Classification (I8)
|
98% |
662
950.9 IPS |
|
|
Machine Translation (F32)
|
100% |
2293
42.2 IPS |
|
|
Machine Translation (F16)
|
100% |
2296
42.3 IPS |
|
|
Machine Translation (I8)
|
69% |
1124
20.7 IPS |
