Gigabyte Technology Co., Ltd. B550 VISION D-P
Geekbench ML Score
10013
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | brocksuire |
| Upload Date | October 18 2024 09:40 PM |
| 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 VII |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
5422
1.01 KIPS |
|
|
Image Classification (F16)
|
100% |
5397
1.01 KIPS |
|
|
Image Classification (I8)
|
100% |
4175
781.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
6580
109.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
6701
111.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
5723
95.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
99126
120.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
92999
112.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
80595
97.6 IPS |
|
|
Object Detection (F32)
|
100% |
3693
275.7 IPS |
|
|
Object Detection (F16)
|
100% |
3586
267.8 IPS |
|
|
Object Detection (I8)
|
66% |
3281
244.9 IPS |
|
|
Face Detection (F32)
|
100% |
18423
219.1 IPS |
|
|
Face Detection (F16)
|
100% |
18128
215.5 IPS |
|
|
Face Detection (I8)
|
89% |
13528
160.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
32030
248.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
32505
252.1 IPS |
|
|
Depth Estimation (I8)
|
95% |
20276
157.2 IPS |
|
|
Style Transfer (F32)
|
100% |
113750
149.6 IPS |
|
|
Style Transfer (F16)
|
100% |
115143
151.5 IPS |
|
|
Style Transfer (I8)
|
98% |
99756
131.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
10746
383.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
10789
385.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
8582
306.5 IPS |
|
|
Text Classification (F32)
|
100% |
1319
1.90 KIPS |
|
|
Text Classification (F16)
|
100% |
1318
1.89 KIPS |
|
|
Text Classification (I8)
|
98% |
752
1.08 KIPS |
|
|
Machine Translation (F32)
|
100% |
2377
43.7 IPS |
|
|
Machine Translation (F16)
|
100% |
2367
43.6 IPS |
|
|
Machine Translation (I8)
|
69% |
1146
21.1 IPS |
