LENOVO 20YM
Geekbench AI Score
3357
Single Precision Score
3363
Half Precision Score
5600
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | redcasval |
| Upload Date | August 25 2024 12:50 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 5600H with Radeon Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 20YM |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 40.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2253
418.9 IPS |
|
|
Image Classification (HP)
|
100% |
2280
424.1 IPS |
|
|
Image Classification (Q)
|
100% |
3818
710.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1973
32.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2002
32.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3455
56.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4371
5.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
4224
4.93 IPS |
|
|
Pose Estimation (Q)
|
94% |
9720
11.4 IPS |
|
|
Object Detection (SP)
|
100% |
2094
166.1 IPS |
|
|
Object Detection (HP)
|
100% |
2053
162.9 IPS |
|
|
Object Detection (Q)
|
87% |
3909
313.5 IPS |
|
|
Face Detection (SP)
|
100% |
3966
47.1 IPS |
|
|
Face Detection (HP)
|
100% |
3812
45.3 IPS |
|
|
Face Detection (Q)
|
97% |
10609
126.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5742
44.2 IPS |
|
|
Depth Estimation (HP)
|
100% |
5911
45.5 IPS |
|
|
Depth Estimation (Q)
|
79% |
10412
82.6 IPS |
|
|
Style Transfer (SP)
|
100% |
12372
15.9 IPS |
|
|
Style Transfer (HP)
|
100% |
12623
16.2 IPS |
|
|
Style Transfer (Q)
|
98% |
27899
36.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2584
95.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2621
96.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5844
216.5 IPS |
|
|
Text Classification (SP)
|
100% |
1775
2.37 KIPS |
|
|
Text Classification (HP)
|
100% |
1849
2.47 KIPS |
|
|
Text Classification (Q)
|
91% |
1321
1.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
3467
59.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3395
58.5 IPS |
|
|
Machine Translation (Q)
|
90% |
2544
44.2 IPS |
