LENOVO 81S9
Geekbench AI Score
1351
Single Precision Score
1553
Half Precision Score
2609
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 17 2024 02:50 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-8265U CPU @ 1.60GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | LENOVO 81S9 |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | Intel Core i5-8265U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 12 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 20.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
479
89.1 IPS |
|
|
Image Classification (HP)
|
100% |
905
168.3 IPS |
|
|
Image Classification (Q)
|
100% |
1656
308.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
806
13.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1016
16.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
1627
26.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1505
1.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
1499
1.75 IPS |
|
|
Pose Estimation (Q)
|
94% |
3277
3.84 IPS |
|
|
Object Detection (SP)
|
100% |
717
56.9 IPS |
|
|
Object Detection (HP)
|
100% |
1037
82.3 IPS |
|
|
Object Detection (Q)
|
87% |
1473
118.1 IPS |
|
|
Face Detection (SP)
|
100% |
1659
19.7 IPS |
|
|
Face Detection (HP)
|
100% |
1876
22.3 IPS |
|
|
Face Detection (Q)
|
97% |
4868
58.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2470
19.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2504
19.3 IPS |
|
|
Depth Estimation (Q)
|
81% |
4771
37.7 IPS |
|
|
Style Transfer (SP)
|
100% |
5303
6.82 IPS |
|
|
Style Transfer (HP)
|
100% |
5235
6.73 IPS |
|
|
Style Transfer (Q)
|
98% |
11682
15.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1260
46.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1201
44.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2785
103.2 IPS |
|
|
Text Classification (SP)
|
100% |
1205
1.61 KIPS |
|
|
Text Classification (HP)
|
100% |
1307
1.74 KIPS |
|
|
Text Classification (Q)
|
91% |
1040
1.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
1479
25.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1483
25.5 IPS |
|
|
Machine Translation (Q)
|
100% |
1433
24.7 IPS |
