Gigabyte Technology Co., Ltd. B550 VISION D-P
Geekbench ML Score
10412
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | brocksuire |
| Upload Date | October 19 2024 02:28 AM |
| Views | 3 |
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% |
6656
1.25 KIPS |
|
|
Image Classification (F16)
|
100% |
6528
1.22 KIPS |
|
|
Image Classification (I8)
|
100% |
5411
1.01 KIPS |
|
|
Image Segmentation (F32)
|
100% |
7419
123.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
7438
124.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
6513
108.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
89576
108.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
89368
108.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
74283
90.0 IPS |
|
|
Object Detection (F32)
|
100% |
2152
160.6 IPS |
|
|
Object Detection (F16)
|
100% |
3168
236.5 IPS |
|
|
Object Detection (I8)
|
62% |
2872
214.4 IPS |
|
|
Face Detection (F32)
|
100% |
17935
213.2 IPS |
|
|
Face Detection (F16)
|
100% |
17937
213.3 IPS |
|
|
Face Detection (I8)
|
89% |
13500
160.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
30778
238.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
30446
236.1 IPS |
|
|
Depth Estimation (I8)
|
95% |
20617
159.9 IPS |
|
|
Style Transfer (F32)
|
100% |
98953
130.2 IPS |
|
|
Style Transfer (F16)
|
100% |
98774
129.9 IPS |
|
|
Style Transfer (I8)
|
98% |
84786
111.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9324
333.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
9066
323.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
7888
281.7 IPS |
|
|
Text Classification (F32)
|
100% |
1878
2.70 KIPS |
|
|
Text Classification (F16)
|
100% |
1893
2.72 KIPS |
|
|
Text Classification (I8)
|
98% |
1207
1.73 KIPS |
|
|
Machine Translation (F32)
|
100% |
3087
56.8 IPS |
|
|
Machine Translation (F16)
|
100% |
3083
56.7 IPS |
|
|
Machine Translation (I8)
|
70% |
1805
33.2 IPS |
