Shinelon Computer CNH5L
Geekbench AI Score
1387
Single Precision Score
1364
Half Precision Score
896
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | tatianyi |
| Upload Date | January 18 2025 07:57 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 5 3600 |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.10 |
| Model | Shinelon Computer CNH5L |
| Motherboard | Shinelon Computer CNH5L |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 3600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 4.21 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 62.69 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
908
168.8 IPS |
|
|
Image Classification (HP)
|
100% |
900
167.3 IPS |
|
|
Image Classification (Q)
|
99% |
545
101.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1346
21.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1298
21.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
660
10.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1927
2.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
1914
2.23 IPS |
|
|
Pose Estimation (Q)
|
96% |
1692
1.98 IPS |
|
|
Object Detection (SP)
|
100% |
914
72.5 IPS |
|
|
Object Detection (HP)
|
100% |
921
73.0 IPS |
|
|
Object Detection (Q)
|
85% |
581
46.8 IPS |
|
|
Face Detection (SP)
|
100% |
1751
20.8 IPS |
|
|
Face Detection (HP)
|
100% |
1743
20.7 IPS |
|
|
Face Detection (Q)
|
97% |
1323
15.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1651
12.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1625
12.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
1146
10.7 IPS |
|
|
Style Transfer (SP)
|
100% |
2346
3.02 IPS |
|
|
Style Transfer (HP)
|
100% |
2345
3.01 IPS |
|
|
Style Transfer (Q)
|
98% |
3332
4.30 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1113
41.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1109
40.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
893
33.1 IPS |
|
|
Text Classification (SP)
|
100% |
1046
1.40 KIPS |
|
|
Text Classification (HP)
|
100% |
949
1.27 KIPS |
|
|
Text Classification (Q)
|
92% |
476
639.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1558
26.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1551
26.7 IPS |
|
|
Machine Translation (Q)
|
58% |
443
10.4 IPS |
