LENOVO 81CA
Geekbench AI Score
1185
Single Precision Score
571
Half Precision Score
1771
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | darronb |
| Upload Date | December 05 2025 04:27 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-8550U |
| 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% |
941
174.9 IPS |
|
|
Image Classification (HP)
|
100% |
214
39.9 IPS |
|
|
Image Classification (Q)
|
96% |
1439
268.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
527
8.54 IPS |
|
|
Image Segmentation (HP)
|
100% |
358
5.81 IPS |
|
|
Image Segmentation (Q)
|
97% |
1639
26.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1809
2.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
1266
1.48 IPS |
|
|
Pose Estimation (Q)
|
86% |
3010
3.56 IPS |
|
|
Object Detection (SP)
|
100% |
799
63.4 IPS |
|
|
Object Detection (HP)
|
100% |
271
21.5 IPS |
|
|
Object Detection (Q)
|
58% |
1020
111.5 IPS |
|
|
Face Detection (SP)
|
100% |
1416
16.8 IPS |
|
|
Face Detection (HP)
|
100% |
582
6.91 IPS |
|
|
Face Detection (Q)
|
96% |
2629
31.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2144
16.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
772
5.95 IPS |
|
|
Depth Estimation (Q)
|
78% |
3029
24.2 IPS |
|
|
Style Transfer (SP)
|
100% |
4231
5.44 IPS |
|
|
Style Transfer (HP)
|
100% |
3135
4.03 IPS |
|
|
Style Transfer (Q)
|
87% |
5084
6.62 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
796
29.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
715
26.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1538
57.0 IPS |
|
|
Text Classification (SP)
|
100% |
827
1.10 KIPS |
|
|
Text Classification (HP)
|
100% |
410
547.8 IPS |
|
|
Text Classification (Q)
|
97% |
706
946.4 IPS |
|
|
Machine Translation (SP)
|
100% |
907
15.6 IPS |
|
|
Machine Translation (HP)
|
100% |
343
5.91 IPS |
|
|
Machine Translation (Q)
|
68% |
955
18.4 IPS |
