LENOVO 82JW
Geekbench AI Score
2805
Single Precision Score
2815
Half Precision Score
5252
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 17 2024 06:10 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 5600H with Radeon Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | LENOVO 82JW |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Legion Performance Mode |
| 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2110
392.4 IPS |
|
|
Image Classification (HP)
|
100% |
2132
396.5 IPS |
|
|
Image Classification (Q)
|
100% |
3692
686.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1423
23.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1464
23.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2520
41.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4143
4.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
4128
4.82 IPS |
|
|
Pose Estimation (Q)
|
94% |
9385
11.0 IPS |
|
|
Object Detection (SP)
|
100% |
1814
143.9 IPS |
|
|
Object Detection (HP)
|
100% |
1678
133.1 IPS |
|
|
Object Detection (Q)
|
87% |
3658
293.4 IPS |
|
|
Face Detection (SP)
|
100% |
1886
22.4 IPS |
|
|
Face Detection (HP)
|
100% |
2036
24.2 IPS |
|
|
Face Detection (Q)
|
97% |
9396
112.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5380
41.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
5248
40.4 IPS |
|
|
Depth Estimation (Q)
|
81% |
9325
73.6 IPS |
|
|
Style Transfer (SP)
|
100% |
11400
14.7 IPS |
|
|
Style Transfer (HP)
|
100% |
11217
14.4 IPS |
|
|
Style Transfer (Q)
|
98% |
27064
34.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2442
90.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2442
90.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5448
201.8 IPS |
|
|
Text Classification (SP)
|
100% |
1762
2.35 KIPS |
|
|
Text Classification (HP)
|
100% |
1730
2.31 KIPS |
|
|
Text Classification (Q)
|
91% |
1357
1.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
2686
46.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2860
49.3 IPS |
|
|
Machine Translation (Q)
|
100% |
2856
49.2 IPS |
