Gigabyte Technology Co., Ltd. B450M DS3H WIFI
Geekbench AI Score
2339
Single Precision Score
1137
Half Precision Score
3217
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 25 2024 08:51 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 5600X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Enterprise (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B450M DS3H WIFI |
| Motherboard | Gigabyte Technology Co., Ltd. B450M DS3H WIFI-CF |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2019
375.5 IPS |
|
|
Image Classification (HP)
|
100% |
494
91.9 IPS |
|
|
Image Classification (Q)
|
96% |
3406
636.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1339
21.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
665
10.8 IPS |
|
|
Image Segmentation (Q)
|
97% |
1673
27.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3100
3.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
2711
3.16 IPS |
|
|
Pose Estimation (Q)
|
86% |
7734
9.14 IPS |
|
|
Object Detection (SP)
|
100% |
1481
117.5 IPS |
|
|
Object Detection (HP)
|
100% |
618
49.0 IPS |
|
|
Object Detection (Q)
|
58% |
2013
220.0 IPS |
|
|
Face Detection (SP)
|
100% |
3646
43.3 IPS |
|
|
Face Detection (HP)
|
100% |
1255
14.9 IPS |
|
|
Face Detection (Q)
|
96% |
6123
73.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4033
31.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1612
12.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
7294
58.2 IPS |
|
|
Style Transfer (SP)
|
100% |
8094
10.4 IPS |
|
|
Style Transfer (HP)
|
100% |
6391
8.22 IPS |
|
|
Style Transfer (Q)
|
87% |
11237
14.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1515
56.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1350
49.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2580
95.6 IPS |
|
|
Text Classification (SP)
|
100% |
1246
1.66 KIPS |
|
|
Text Classification (HP)
|
100% |
563
751.4 IPS |
|
|
Text Classification (Q)
|
97% |
422
564.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1762
30.4 IPS |
|
|
Machine Translation (HP)
|
100% |
669
11.5 IPS |
|
|
Machine Translation (Q)
|
68% |
2454
47.4 IPS |
