Gigabyte Technology Co., Ltd. B550 VISION D-P
Geekbench ML Score
3320
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | brocksuire |
| Upload Date | October 18 2024 09:43 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1480
277.0 IPS |
|
|
Image Classification (F16)
|
100% |
1485
277.9 IPS |
|
|
Image Classification (I8)
|
97% |
3235
605.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1713
28.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1817
30.4 IPS |
|
|
Image Segmentation (I8)
|
97% |
2225
37.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
8305
10.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
9175
11.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
17406
21.1 IPS |
|
|
Object Detection (F32)
|
100% |
1549
115.6 IPS |
|
|
Object Detection (F16)
|
100% |
1540
115.0 IPS |
|
|
Object Detection (I8)
|
60% |
1644
122.7 IPS |
|
|
Face Detection (F32)
|
100% |
2837
33.7 IPS |
|
|
Face Detection (F16)
|
100% |
2967
35.3 IPS |
|
|
Face Detection (I8)
|
87% |
3978
47.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
7600
58.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
7658
59.4 IPS |
|
|
Depth Estimation (I8)
|
74% |
12400
96.2 IPS |
|
|
Style Transfer (F32)
|
100% |
18287
24.1 IPS |
|
|
Style Transfer (F16)
|
100% |
17347
22.8 IPS |
|
|
Style Transfer (I8)
|
85% |
17992
23.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2488
88.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2606
93.1 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
3394
121.2 IPS |
|
|
Text Classification (F32)
|
100% |
1157
1.66 KIPS |
|
|
Text Classification (F16)
|
100% |
1273
1.83 KIPS |
|
|
Text Classification (I8)
|
94% |
365
524.3 IPS |
|
|
Machine Translation (F32)
|
100% |
2115
38.9 IPS |
|
|
Machine Translation (F16)
|
100% |
2108
38.8 IPS |
|
|
Machine Translation (I8)
|
67% |
2314
42.6 IPS |
