LENOVO 81CA
Geekbench AI Score
1297
Single Precision Score
2044
Half Precision Score
1939
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | darronb |
| Upload Date | December 05 2025 05:27 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics 620 (iGPU) |
| 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% |
833
154.9 IPS |
|
|
Image Classification (HP)
|
100% |
1257
233.8 IPS |
|
|
Image Classification (Q)
|
100% |
1132
210.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1024
16.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1882
30.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
1781
29.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2118
2.47 IPS |
|
|
Pose Estimation (HP)
|
99% |
2156
2.52 IPS |
|
|
Pose Estimation (Q)
|
97% |
3052
3.57 IPS |
|
|
Object Detection (SP)
|
100% |
825
65.4 IPS |
|
|
Object Detection (HP)
|
99% |
1485
118.1 IPS |
|
|
Object Detection (Q)
|
88% |
1343
107.7 IPS |
|
|
Face Detection (SP)
|
100% |
1895
22.5 IPS |
|
|
Face Detection (HP)
|
100% |
3254
38.7 IPS |
|
|
Face Detection (Q)
|
97% |
3092
36.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2622
20.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
4926
38.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
4070
31.7 IPS |
|
|
Style Transfer (SP)
|
100% |
5962
7.66 IPS |
|
|
Style Transfer (HP)
|
100% |
8428
10.8 IPS |
|
|
Style Transfer (Q)
|
98% |
7436
9.59 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1072
39.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1967
72.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1884
69.8 IPS |
|
|
Text Classification (SP)
|
71% |
555
803.3 IPS |
|
|
Text Classification (HP)
|
71% |
598
865.2 IPS |
|
|
Text Classification (Q)
|
92% |
485
651.1 IPS |
|
|
Machine Translation (SP)
|
100% |
516
8.88 IPS |
|
|
Machine Translation (HP)
|
99% |
1062
18.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1067
18.4 IPS |
