LENOVO 83A0
Geekbench AI Score
1444
Single Precision Score
704
Half Precision Score
2790
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | July 09 2025 08:12 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-13420H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 83A0 |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13420H |
| Topology | 1 Processor, 8 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1057
196.6 IPS |
|
|
Image Classification (HP)
|
100% |
265
49.2 IPS |
|
|
Image Classification (Q)
|
99% |
2522
470.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
616
9.99 IPS |
|
|
Image Segmentation (HP)
|
100% |
423
6.85 IPS |
|
|
Image Segmentation (Q)
|
98% |
1406
22.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2133
2.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
1775
2.07 IPS |
|
|
Pose Estimation (Q)
|
94% |
7697
9.02 IPS |
|
|
Object Detection (SP)
|
100% |
1023
81.1 IPS |
|
|
Object Detection (HP)
|
100% |
328
26.1 IPS |
|
|
Object Detection (Q)
|
86% |
2428
195.1 IPS |
|
|
Face Detection (SP)
|
100% |
2413
28.7 IPS |
|
|
Face Detection (HP)
|
100% |
772
9.18 IPS |
|
|
Face Detection (Q)
|
97% |
3767
44.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3015
23.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1056
8.14 IPS |
|
|
Depth Estimation (Q)
|
78% |
5821
46.4 IPS |
|
|
Style Transfer (SP)
|
100% |
5375
6.91 IPS |
|
|
Style Transfer (HP)
|
100% |
4498
5.78 IPS |
|
|
Style Transfer (Q)
|
98% |
9544
12.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1026
37.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
903
33.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1809
67.0 IPS |
|
|
Text Classification (SP)
|
100% |
767
1.02 KIPS |
|
|
Text Classification (HP)
|
100% |
378
504.3 IPS |
|
|
Text Classification (Q)
|
97% |
796
1.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
904
15.6 IPS |
|
|
Machine Translation (HP)
|
100% |
371
6.39 IPS |
|
|
Machine Translation (Q)
|
65% |
1432
28.8 IPS |
