To Be Filled By O.E.M. B550M PG Riptide
Geekbench AI Score
1838
Single Precision Score
1839
Half Precision Score
1147
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | Nickayz |
| Upload Date | April 05 2025 08:49 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 5 5600G |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.2 LTS |
| Model | To Be Filled By O.E.M. B550M PG Riptide |
| Motherboard | ASRock B550M PG Riptide |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600G |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 4.46 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 31.22 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1454
270.3 IPS |
|
|
Image Classification (HP)
|
100% |
1462
271.9 IPS |
|
|
Image Classification (Q)
|
99% |
715
133.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1707
27.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1711
27.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
816
13.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1961
2.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
1988
2.32 IPS |
|
|
Pose Estimation (Q)
|
96% |
1994
2.34 IPS |
|
|
Object Detection (SP)
|
100% |
1525
120.9 IPS |
|
|
Object Detection (HP)
|
100% |
1541
122.2 IPS |
|
|
Object Detection (Q)
|
85% |
745
59.9 IPS |
|
|
Face Detection (SP)
|
100% |
2114
25.1 IPS |
|
|
Face Detection (HP)
|
100% |
2112
25.1 IPS |
|
|
Face Detection (Q)
|
97% |
1960
23.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2049
15.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2027
15.6 IPS |
|
|
Depth Estimation (Q)
|
63% |
1469
13.8 IPS |
|
|
Style Transfer (SP)
|
100% |
2287
2.94 IPS |
|
|
Style Transfer (HP)
|
100% |
2270
2.92 IPS |
|
|
Style Transfer (Q)
|
98% |
3892
5.02 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1620
59.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1581
58.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1092
40.5 IPS |
|
|
Text Classification (SP)
|
100% |
1753
2.34 KIPS |
|
|
Text Classification (HP)
|
100% |
1791
2.39 KIPS |
|
|
Text Classification (Q)
|
92% |
656
880.7 IPS |
|
|
Machine Translation (SP)
|
100% |
2108
36.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2108
36.3 IPS |
|
|
Machine Translation (Q)
|
58% |
570
13.4 IPS |
