LENOVO 83LY
Geekbench AI Score
1668
Single Precision Score
1693
Half Precision Score
1133
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | November 08 2025 07:29 PM |
| Views | 2 |
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 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700HX |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
714
132.7 IPS |
|
|
Image Classification (HP)
|
100% |
725
134.8 IPS |
|
|
Image Classification (Q)
|
100% |
615
114.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1002
16.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1114
18.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
780
12.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5333
6.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
5865
6.84 IPS |
|
|
Pose Estimation (Q)
|
96% |
3574
4.19 IPS |
|
|
Object Detection (SP)
|
100% |
800
63.5 IPS |
|
|
Object Detection (HP)
|
98% |
691
55.0 IPS |
|
|
Object Detection (Q)
|
86% |
671
54.0 IPS |
|
|
Face Detection (SP)
|
100% |
1633
19.4 IPS |
|
|
Face Detection (HP)
|
100% |
1780
21.2 IPS |
|
|
Face Detection (Q)
|
97% |
1230
14.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3095
23.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
3373
26.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
2298
18.4 IPS |
|
|
Style Transfer (SP)
|
100% |
10946
14.1 IPS |
|
|
Style Transfer (HP)
|
100% |
14711
18.9 IPS |
|
|
Style Transfer (Q)
|
98% |
8123
10.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1817
67.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2495
92.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
939
34.8 IPS |
|
|
Text Classification (SP)
|
100% |
832
1.11 KIPS |
|
|
Text Classification (HP)
|
100% |
418
557.8 IPS |
|
|
Text Classification (Q)
|
97% |
391
524.1 IPS |
|
|
Machine Translation (SP)
|
100% |
655
11.3 IPS |
|
|
Machine Translation (HP)
|
100% |
644
11.1 IPS |
|
|
Machine Translation (Q)
|
70% |
362
6.79 IPS |
