LENOVO 81CA
Geekbench AI Score
1577
Single Precision Score
1524
Half Precision Score
2371
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | darronb |
| Upload Date | December 05 2025 05:40 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-8550U CPU @ 1.80GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 81CA |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-8550U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 10 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
986
183.3 IPS |
|
|
Image Classification (HP)
|
100% |
979
182.1 IPS |
|
|
Image Classification (Q)
|
100% |
1651
307.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
944
15.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
951
15.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
1691
27.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1930
2.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
1667
1.95 IPS |
|
|
Pose Estimation (Q)
|
94% |
3552
4.17 IPS |
|
|
Object Detection (SP)
|
100% |
935
74.1 IPS |
|
|
Object Detection (HP)
|
100% |
933
74.0 IPS |
|
|
Object Detection (Q)
|
87% |
1686
135.2 IPS |
|
|
Face Detection (SP)
|
100% |
1790
21.3 IPS |
|
|
Face Detection (HP)
|
100% |
1787
21.2 IPS |
|
|
Face Detection (Q)
|
97% |
4150
49.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2544
19.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2384
18.4 IPS |
|
|
Depth Estimation (Q)
|
81% |
4248
33.5 IPS |
|
|
Style Transfer (SP)
|
100% |
5409
6.95 IPS |
|
|
Style Transfer (HP)
|
100% |
5339
6.86 IPS |
|
|
Style Transfer (Q)
|
98% |
10833
14.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1105
40.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1089
40.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2218
82.2 IPS |
|
|
Text Classification (SP)
|
100% |
1259
1.68 KIPS |
|
|
Text Classification (HP)
|
100% |
1292
1.72 KIPS |
|
|
Text Classification (Q)
|
91% |
529
711.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1662
28.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1466
25.2 IPS |
|
|
Machine Translation (Q)
|
100% |
1499
25.8 IPS |
