LENOVO 83EM
Geekbench AI Score
2212
Single Precision Score
851
Half Precision Score
4262
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | February 15 2026 12:15 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-13620H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 83EM |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13620H |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| 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% |
2025
376.6 IPS |
|
|
Image Classification (HP)
|
100% |
409
76.1 IPS |
|
|
Image Classification (Q)
|
99% |
4254
793.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1166
18.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
674
10.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
5027
81.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3802
4.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
2628
3.07 IPS |
|
|
Pose Estimation (Q)
|
94% |
9103
10.7 IPS |
|
|
Object Detection (SP)
|
100% |
1473
116.8 IPS |
|
|
Object Detection (HP)
|
100% |
353
28.0 IPS |
|
|
Object Detection (Q)
|
86% |
4041
324.8 IPS |
|
|
Face Detection (SP)
|
100% |
4550
54.1 IPS |
|
|
Face Detection (HP)
|
100% |
856
10.2 IPS |
|
|
Face Detection (Q)
|
97% |
5160
61.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3581
27.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1146
8.83 IPS |
|
|
Depth Estimation (Q)
|
78% |
5550
44.3 IPS |
|
|
Style Transfer (SP)
|
100% |
7052
9.07 IPS |
|
|
Style Transfer (HP)
|
100% |
4593
5.90 IPS |
|
|
Style Transfer (Q)
|
98% |
12394
16.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1462
54.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
848
31.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3404
126.1 IPS |
|
|
Text Classification (SP)
|
100% |
1079
1.44 KIPS |
|
|
Text Classification (HP)
|
100% |
544
725.6 IPS |
|
|
Text Classification (Q)
|
97% |
1014
1.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
1174
20.2 IPS |
|
|
Machine Translation (HP)
|
100% |
378
6.52 IPS |
|
|
Machine Translation (Q)
|
65% |
2056
41.3 IPS |
