LENOVO 83LY
Geekbench AI Score
1780
Single Precision Score
1817
Half Precision Score
1204
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | badmancookieman |
| Upload Date | February 19 2026 11:34 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 83LY |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900HX |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
770
143.2 IPS |
|
|
Image Classification (HP)
|
100% |
787
146.4 IPS |
|
|
Image Classification (Q)
|
100% |
650
120.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1082
17.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1205
19.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
829
13.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5560
6.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
6030
7.04 IPS |
|
|
Pose Estimation (Q)
|
96% |
3717
4.35 IPS |
|
|
Object Detection (SP)
|
100% |
854
67.8 IPS |
|
|
Object Detection (HP)
|
98% |
735
58.5 IPS |
|
|
Object Detection (Q)
|
86% |
726
58.4 IPS |
|
|
Face Detection (SP)
|
100% |
1749
20.8 IPS |
|
|
Face Detection (HP)
|
100% |
1894
22.5 IPS |
|
|
Face Detection (Q)
|
97% |
1300
15.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3243
25.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
3562
27.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
2401
19.2 IPS |
|
|
Style Transfer (SP)
|
100% |
11356
14.6 IPS |
|
|
Style Transfer (HP)
|
100% |
15238
19.6 IPS |
|
|
Style Transfer (Q)
|
98% |
8422
10.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1920
70.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2637
97.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
983
36.4 IPS |
|
|
Text Classification (SP)
|
100% |
855
1.14 KIPS |
|
|
Text Classification (HP)
|
100% |
471
629.3 IPS |
|
|
Text Classification (Q)
|
97% |
427
571.9 IPS |
|
|
Machine Translation (SP)
|
100% |
767
13.2 IPS |
|
|
Machine Translation (HP)
|
100% |
731
12.6 IPS |
|
|
Machine Translation (Q)
|
70% |
399
7.48 IPS |
