LENOVO 83LY
Geekbench AI Score
1958
Single Precision Score
728
Half Precision Score
2769
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | ahumash |
| Upload Date | April 05 2026 05:58 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-13650HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 83LY |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13650HX |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2183
405.9 IPS |
|
|
Image Classification (HP)
|
100% |
356
66.3 IPS |
|
|
Image Classification (Q)
|
99% |
3964
739.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1106
17.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
613
9.94 IPS |
|
|
Image Segmentation (Q)
|
98% |
6129
99.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4676
5.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
2914
3.40 IPS |
|
|
Pose Estimation (Q)
|
94% |
13923
16.3 IPS |
|
|
Object Detection (SP)
|
100% |
1853
147.0 IPS |
|
|
Object Detection (HP)
|
100% |
101
7.97 IPS |
|
|
Object Detection (Q)
|
86% |
241
19.4 IPS |
|
|
Face Detection (SP)
|
100% |
619
7.36 IPS |
|
|
Face Detection (HP)
|
100% |
239
2.84 IPS |
|
|
Face Detection (Q)
|
97% |
753
8.97 IPS |
|
|
Depth Estimation (SP)
|
100% |
5422
41.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1432
11.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
9278
74.0 IPS |
|
|
Style Transfer (SP)
|
100% |
9823
12.6 IPS |
|
|
Style Transfer (HP)
|
100% |
6771
8.70 IPS |
|
|
Style Transfer (Q)
|
98% |
11000
14.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1643
60.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1291
47.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3294
122.0 IPS |
|
|
Text Classification (SP)
|
100% |
878
1.17 KIPS |
|
|
Text Classification (HP)
|
100% |
452
603.7 IPS |
|
|
Text Classification (Q)
|
97% |
842
1.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
833
14.3 IPS |
|
|
Machine Translation (HP)
|
100% |
488
8.41 IPS |
|
|
Machine Translation (Q)
|
65% |
1530
30.8 IPS |
