LENOVO 83SC
Geekbench AI Score
14366
Single Precision Score
28293
Half Precision Score
11582
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | January 30 2026 11:39 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5050 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 83SC |
| 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% |
6384
1.19 KIPS |
|
|
Image Classification (HP)
|
100% |
12973
2.41 KIPS |
|
|
Image Classification (Q)
|
99% |
6103
1.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10360
167.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
15964
258.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
9412
153.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
61041
71.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
204831
239.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
60895
71.3 IPS |
|
|
Object Detection (SP)
|
100% |
6673
529.3 IPS |
|
|
Object Detection (HP)
|
100% |
13664
1.08 KIPS |
|
|
Object Detection (Q)
|
87% |
6755
542.1 IPS |
|
|
Face Detection (SP)
|
100% |
17994
213.8 IPS |
|
|
Face Detection (HP)
|
100% |
29811
354.2 IPS |
|
|
Face Detection (Q)
|
97% |
15694
187.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
32537
250.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
70121
540.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
27630
220.9 IPS |
|
|
Style Transfer (SP)
|
100% |
99703
128.2 IPS |
|
|
Style Transfer (HP)
|
100% |
341518
439.0 IPS |
|
|
Style Transfer (Q)
|
98% |
84538
109.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17880
660.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
43113
1.59 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
14265
528.2 IPS |
|
|
Text Classification (SP)
|
100% |
3169
4.23 KIPS |
|
|
Text Classification (HP)
|
100% |
3951
5.27 KIPS |
|
|
Text Classification (Q)
|
97% |
1980
2.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
4204
72.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4664
80.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1776
33.3 IPS |
