LENOVO 81CA
Geekbench AI Score
890
Single Precision Score
1071
Half Precision Score
696
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | darronb |
| Upload Date | December 05 2025 05:51 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 620 |
| 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% |
405
75.2 IPS |
|
|
Image Classification (HP)
|
100% |
475
88.4 IPS |
|
|
Image Classification (Q)
|
100% |
382
71.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
564
9.15 IPS |
|
|
Image Segmentation (HP)
|
100% |
662
10.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
455
7.40 IPS |
|
|
Pose Estimation (SP)
|
100% |
2145
2.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
3456
4.03 IPS |
|
|
Pose Estimation (Q)
|
97% |
1857
2.17 IPS |
|
|
Object Detection (SP)
|
100% |
469
37.2 IPS |
|
|
Object Detection (HP)
|
98% |
477
37.9 IPS |
|
|
Object Detection (Q)
|
86% |
425
34.1 IPS |
|
|
Face Detection (SP)
|
100% |
781
9.28 IPS |
|
|
Face Detection (HP)
|
100% |
1063
12.6 IPS |
|
|
Face Detection (Q)
|
97% |
651
7.77 IPS |
|
|
Depth Estimation (SP)
|
100% |
1593
12.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
2028
15.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
1320
10.6 IPS |
|
|
Style Transfer (SP)
|
100% |
5477
7.04 IPS |
|
|
Style Transfer (HP)
|
100% |
8759
11.3 IPS |
|
|
Style Transfer (Q)
|
98% |
4479
5.78 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1128
41.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1613
59.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
780
28.9 IPS |
|
|
Text Classification (SP)
|
100% |
423
564.5 IPS |
|
|
Text Classification (HP)
|
100% |
281
375.1 IPS |
|
|
Text Classification (Q)
|
97% |
265
355.6 IPS |
|
|
Machine Translation (SP)
|
100% |
420
7.24 IPS |
|
|
Machine Translation (HP)
|
100% |
449
7.73 IPS |
|
|
Machine Translation (Q)
|
70% |
247
4.64 IPS |
