LENOVO 83LY
Geekbench AI Score
2614
Single Precision Score
1025
Half Precision Score
4951
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | ahumash |
| Upload Date | April 05 2026 06:19 PM |
| Views | 5 |
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% |
2109
392.2 IPS |
|
|
Image Classification (HP)
|
100% |
350
65.0 IPS |
|
|
Image Classification (Q)
|
99% |
3881
723.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1047
17.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
645
10.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
6003
97.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4755
5.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
3069
3.58 IPS |
|
|
Pose Estimation (Q)
|
94% |
15192
17.8 IPS |
|
|
Object Detection (SP)
|
100% |
2032
161.2 IPS |
|
|
Object Detection (HP)
|
100% |
485
38.5 IPS |
|
|
Object Detection (Q)
|
86% |
4121
331.2 IPS |
|
|
Face Detection (SP)
|
100% |
4671
55.5 IPS |
|
|
Face Detection (HP)
|
100% |
1027
12.2 IPS |
|
|
Face Detection (Q)
|
97% |
6088
72.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6042
46.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1423
11.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
10062
80.3 IPS |
|
|
Style Transfer (SP)
|
100% |
10633
13.7 IPS |
|
|
Style Transfer (HP)
|
100% |
7389
9.50 IPS |
|
|
Style Transfer (Q)
|
98% |
13850
17.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1826
67.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1396
51.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3543
131.2 IPS |
|
|
Text Classification (SP)
|
100% |
1097
1.46 KIPS |
|
|
Text Classification (HP)
|
100% |
500
667.5 IPS |
|
|
Text Classification (Q)
|
97% |
1073
1.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
1164
20.1 IPS |
|
|
Machine Translation (HP)
|
100% |
506
8.72 IPS |
|
|
Machine Translation (Q)
|
65% |
1883
37.8 IPS |
