Shinelon Computer CNH5L
Geekbench AI Score
2033
Single Precision Score
932
Half Precision Score
2061
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | tatianyi |
| Upload Date | January 18 2025 04:10 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 3600 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 G (64-bit) |
| 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 | 3.59 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1536
285.7 IPS |
|
|
Image Classification (HP)
|
100% |
390
72.6 IPS |
|
|
Image Classification (Q)
|
96% |
1786
333.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
779
12.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
426
6.91 IPS |
|
|
Image Segmentation (Q)
|
97% |
1169
19.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3072
3.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
2708
3.16 IPS |
|
|
Pose Estimation (Q)
|
86% |
4273
5.05 IPS |
|
|
Object Detection (SP)
|
100% |
1728
137.0 IPS |
|
|
Object Detection (HP)
|
100% |
492
39.1 IPS |
|
|
Object Detection (Q)
|
58% |
1387
151.5 IPS |
|
|
Face Detection (SP)
|
100% |
3048
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
1009
12.0 IPS |
|
|
Face Detection (Q)
|
96% |
4093
48.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4675
36.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1409
10.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
4653
37.1 IPS |
|
|
Style Transfer (SP)
|
100% |
8246
10.6 IPS |
|
|
Style Transfer (HP)
|
100% |
7330
9.42 IPS |
|
|
Style Transfer (Q)
|
87% |
8767
11.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1598
59.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1080
39.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1313
48.7 IPS |
|
|
Text Classification (SP)
|
100% |
841
1.12 KIPS |
|
|
Text Classification (HP)
|
100% |
418
558.1 IPS |
|
|
Text Classification (Q)
|
97% |
330
441.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1204
20.7 IPS |
|
|
Machine Translation (HP)
|
100% |
479
8.26 IPS |
|
|
Machine Translation (Q)
|
68% |
1549
29.9 IPS |
