LENOVO 83A0
Geekbench AI Score
1419
Single Precision Score
691
Half Precision Score
2756
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | July 09 2025 08:07 AM |
| Views | 4 |
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% |
1076
200.1 IPS |
|
|
Image Classification (HP)
|
100% |
263
49.0 IPS |
|
|
Image Classification (Q)
|
99% |
2531
472.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
603
9.78 IPS |
|
|
Image Segmentation (HP)
|
100% |
428
6.93 IPS |
|
|
Image Segmentation (Q)
|
98% |
1436
23.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2132
2.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
1773
2.07 IPS |
|
|
Pose Estimation (Q)
|
94% |
7764
9.10 IPS |
|
|
Object Detection (SP)
|
100% |
1034
82.0 IPS |
|
|
Object Detection (HP)
|
100% |
329
26.1 IPS |
|
|
Object Detection (Q)
|
86% |
2374
190.8 IPS |
|
|
Face Detection (SP)
|
100% |
2433
28.9 IPS |
|
|
Face Detection (HP)
|
100% |
745
8.85 IPS |
|
|
Face Detection (Q)
|
97% |
3828
45.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3007
23.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1061
8.17 IPS |
|
|
Depth Estimation (Q)
|
78% |
5724
45.7 IPS |
|
|
Style Transfer (SP)
|
100% |
5318
6.84 IPS |
|
|
Style Transfer (HP)
|
100% |
4526
5.82 IPS |
|
|
Style Transfer (Q)
|
98% |
9495
12.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
970
35.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
765
28.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1594
59.0 IPS |
|
|
Text Classification (SP)
|
100% |
657
877.6 IPS |
|
|
Text Classification (HP)
|
100% |
371
494.7 IPS |
|
|
Text Classification (Q)
|
97% |
820
1.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
934
16.1 IPS |
|
|
Machine Translation (HP)
|
100% |
373
6.42 IPS |
|
|
Machine Translation (Q)
|
65% |
1389
27.9 IPS |
