Shinelon Computer CNH5L
Geekbench AI Score
2963
Single Precision Score
3009
Half Precision Score
3408
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | tatianyi |
| Upload Date | January 18 2025 04:07 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 3600 6-Core Processor |
| 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% |
1898
353.0 IPS |
|
|
Image Classification (HP)
|
100% |
2086
387.9 IPS |
|
|
Image Classification (Q)
|
100% |
2147
399.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
961
15.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
923
15.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2624
42.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4491
5.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
4448
5.19 IPS |
|
|
Pose Estimation (Q)
|
94% |
4892
5.74 IPS |
|
|
Object Detection (SP)
|
100% |
1896
150.4 IPS |
|
|
Object Detection (HP)
|
100% |
1822
144.5 IPS |
|
|
Object Detection (Q)
|
87% |
2308
185.1 IPS |
|
|
Face Detection (SP)
|
100% |
4700
55.8 IPS |
|
|
Face Detection (HP)
|
100% |
4726
56.2 IPS |
|
|
Face Detection (Q)
|
97% |
7310
87.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5417
41.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
5498
42.4 IPS |
|
|
Depth Estimation (Q)
|
81% |
5644
44.6 IPS |
|
|
Style Transfer (SP)
|
100% |
13189
17.0 IPS |
|
|
Style Transfer (HP)
|
100% |
13599
17.5 IPS |
|
|
Style Transfer (Q)
|
98% |
14377
18.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2366
87.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2712
100.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2978
110.3 IPS |
|
|
Text Classification (SP)
|
100% |
1684
2.25 KIPS |
|
|
Text Classification (HP)
|
100% |
1615
2.16 KIPS |
|
|
Text Classification (Q)
|
91% |
764
1.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
2512
43.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2524
43.5 IPS |
|
|
Machine Translation (Q)
|
100% |
2468
42.5 IPS |
