LENOVO 81CA
Geekbench AI Score
1229
Single Precision Score
1221
Half Precision Score
943
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 05 2025 05:45 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce 940MX |
| 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% |
485
90.2 IPS |
|
|
Image Classification (HP)
|
100% |
489
90.9 IPS |
|
|
Image Classification (Q)
|
99% |
424
79.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
642
10.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
662
10.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
534
8.69 IPS |
|
|
Pose Estimation (SP)
|
100% |
3539
4.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
3414
3.98 IPS |
|
|
Pose Estimation (Q)
|
96% |
3180
3.72 IPS |
|
|
Object Detection (SP)
|
100% |
590
46.8 IPS |
|
|
Object Detection (HP)
|
100% |
592
46.9 IPS |
|
|
Object Detection (Q)
|
83% |
507
41.0 IPS |
|
|
Face Detection (SP)
|
100% |
1009
12.0 IPS |
|
|
Face Detection (HP)
|
100% |
1030
12.2 IPS |
|
|
Face Detection (Q)
|
97% |
850
10.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2116
16.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2103
16.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
1747
14.0 IPS |
|
|
Style Transfer (SP)
|
100% |
5965
7.67 IPS |
|
|
Style Transfer (HP)
|
100% |
5959
7.66 IPS |
|
|
Style Transfer (Q)
|
98% |
5267
6.79 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1797
66.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1765
65.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1296
48.0 IPS |
|
|
Text Classification (SP)
|
100% |
536
715.1 IPS |
|
|
Text Classification (HP)
|
100% |
519
692.6 IPS |
|
|
Text Classification (Q)
|
97% |
326
437.2 IPS |
|
|
Machine Translation (SP)
|
100% |
989
17.0 IPS |
|
|
Machine Translation (HP)
|
96% |
959
16.6 IPS |
|
|
Machine Translation (Q)
|
70% |
462
8.66 IPS |
