LENOVO 82EY
Geekbench AI Score
2653
Single Precision Score
2651
Half Precision Score
3223
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | dvmi1 |
| Upload Date | August 16 2024 07:07 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 4600H with Radeon Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 82EY |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 4600H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 96 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1804
335.5 IPS |
|
|
Image Classification (HP)
|
100% |
1806
335.8 IPS |
|
|
Image Classification (Q)
|
100% |
2034
378.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
943
15.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
951
15.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2346
38.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4162
4.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
4082
4.76 IPS |
|
|
Pose Estimation (Q)
|
94% |
5032
5.90 IPS |
|
|
Object Detection (SP)
|
100% |
1777
141.0 IPS |
|
|
Object Detection (HP)
|
100% |
1791
142.1 IPS |
|
|
Object Detection (Q)
|
87% |
2196
176.2 IPS |
|
|
Face Detection (SP)
|
100% |
3386
40.2 IPS |
|
|
Face Detection (HP)
|
100% |
3396
40.4 IPS |
|
|
Face Detection (Q)
|
97% |
6615
78.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5113
39.4 IPS |
|
|
Depth Estimation (HP)
|
100% |
5022
38.7 IPS |
|
|
Depth Estimation (Q)
|
79% |
5932
47.0 IPS |
|
|
Style Transfer (SP)
|
100% |
11663
15.0 IPS |
|
|
Style Transfer (HP)
|
100% |
11600
14.9 IPS |
|
|
Style Transfer (Q)
|
98% |
14355
18.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2275
84.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2266
83.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2969
110.0 IPS |
|
|
Text Classification (SP)
|
100% |
1344
1.79 KIPS |
|
|
Text Classification (HP)
|
100% |
1378
1.84 KIPS |
|
|
Text Classification (Q)
|
91% |
862
1.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
2224
38.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2212
38.1 IPS |
|
|
Machine Translation (Q)
|
90% |
1594
27.7 IPS |
