Gigabyte Technology Co., Ltd. B550M K
Geekbench AI Score
1660
Single Precision Score
850
Half Precision Score
1997
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 19 2024 04:46 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 5500 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B550M K |
| Motherboard | Gigabyte Technology Co., Ltd. B550M K |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5500 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
966
179.6 IPS |
|
|
Image Classification (HP)
|
100% |
321
59.6 IPS |
|
|
Image Classification (Q)
|
96% |
1755
327.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
894
14.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
509
8.25 IPS |
|
|
Image Segmentation (Q)
|
97% |
1269
20.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2809
3.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
2332
2.72 IPS |
|
|
Pose Estimation (Q)
|
87% |
5996
7.08 IPS |
|
|
Object Detection (SP)
|
100% |
1062
84.2 IPS |
|
|
Object Detection (HP)
|
100% |
399
31.6 IPS |
|
|
Object Detection (Q)
|
86% |
1079
86.7 IPS |
|
|
Face Detection (SP)
|
100% |
1720
20.4 IPS |
|
|
Face Detection (HP)
|
100% |
931
11.1 IPS |
|
|
Face Detection (Q)
|
96% |
2598
31.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3186
24.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1237
9.53 IPS |
|
|
Depth Estimation (Q)
|
77% |
3684
29.5 IPS |
|
|
Style Transfer (SP)
|
100% |
7104
9.13 IPS |
|
|
Style Transfer (HP)
|
100% |
5777
7.43 IPS |
|
|
Style Transfer (Q)
|
87% |
9906
12.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1247
46.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1076
39.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1784
66.1 IPS |
|
|
Text Classification (SP)
|
100% |
1043
1.39 KIPS |
|
|
Text Classification (HP)
|
100% |
438
585.0 IPS |
|
|
Text Classification (Q)
|
97% |
332
444.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1224
21.1 IPS |
|
|
Machine Translation (HP)
|
100% |
414
7.14 IPS |
|
|
Machine Translation (Q)
|
60% |
1250
27.9 IPS |
