LENOVO 83SC
Geekbench AI Score
14133
Single Precision Score
27225
Half Precision Score
11467
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | January 06 2026 03:18 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5050 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | LENOVO 83SC |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13450HX |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6192
1.15 KIPS |
|
|
Image Classification (HP)
|
100% |
12035
2.24 KIPS |
|
|
Image Classification (Q)
|
99% |
5892
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10291
166.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
15340
248.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
9548
155.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
62304
72.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
212733
248.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
62691
73.4 IPS |
|
|
Object Detection (SP)
|
100% |
7255
575.5 IPS |
|
|
Object Detection (HP)
|
100% |
14582
1.16 KIPS |
|
|
Object Detection (Q)
|
87% |
7081
568.3 IPS |
|
|
Face Detection (SP)
|
100% |
17878
212.4 IPS |
|
|
Face Detection (HP)
|
100% |
28481
338.4 IPS |
|
|
Face Detection (Q)
|
97% |
17092
203.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
32075
247.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
67192
517.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
27018
216.0 IPS |
|
|
Style Transfer (SP)
|
100% |
96509
124.1 IPS |
|
|
Style Transfer (HP)
|
100% |
319669
410.9 IPS |
|
|
Style Transfer (Q)
|
98% |
84015
108.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
18260
674.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40581
1.50 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
13865
513.4 IPS |
|
|
Text Classification (SP)
|
100% |
2889
3.86 KIPS |
|
|
Text Classification (HP)
|
100% |
3651
4.87 KIPS |
|
|
Text Classification (Q)
|
97% |
1765
2.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
3781
65.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4310
74.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1658
31.1 IPS |
