B550M-ITX/ac
Geekbench AI Score
1664
Single Precision Score
810
Half Precision Score
1862
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 04 2025 05:06 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 3600 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | B550M-ITX/ac |
| Motherboard | ASRock B550M-ITX/ac |
| Power Plan | Risparmio di energia |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 3600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1144
212.8 IPS |
|
|
Image Classification (HP)
|
100% |
340
63.2 IPS |
|
|
Image Classification (Q)
|
96% |
1455
271.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
723
11.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
397
6.44 IPS |
|
|
Image Segmentation (Q)
|
97% |
1154
18.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2604
3.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
2207
2.58 IPS |
|
|
Pose Estimation (Q)
|
86% |
3070
3.63 IPS |
|
|
Object Detection (SP)
|
100% |
1220
96.8 IPS |
|
|
Object Detection (HP)
|
100% |
397
31.5 IPS |
|
|
Object Detection (Q)
|
58% |
1054
115.1 IPS |
|
|
Face Detection (SP)
|
100% |
2761
32.8 IPS |
|
|
Face Detection (HP)
|
100% |
881
10.5 IPS |
|
|
Face Detection (Q)
|
96% |
3357
40.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3370
26.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1233
9.50 IPS |
|
|
Depth Estimation (Q)
|
78% |
3553
28.4 IPS |
|
|
Style Transfer (SP)
|
100% |
6527
8.39 IPS |
|
|
Style Transfer (HP)
|
100% |
5210
6.70 IPS |
|
|
Style Transfer (Q)
|
87% |
6804
8.86 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1118
41.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1003
37.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1138
42.2 IPS |
|
|
Text Classification (SP)
|
100% |
773
1.03 KIPS |
|
|
Text Classification (HP)
|
100% |
375
501.1 IPS |
|
|
Text Classification (Q)
|
97% |
712
954.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1187
20.5 IPS |
|
|
Machine Translation (HP)
|
100% |
483
8.31 IPS |
|
|
Machine Translation (Q)
|
68% |
1406
27.2 IPS |
