LENOVO 83EM
Geekbench AI Score
2189
Single Precision Score
840
Half Precision Score
4136
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | nhShuaib |
| Upload Date | October 10 2025 10:13 AM |
| Views | 5 |
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 |
| 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% |
1879
349.4 IPS |
|
|
Image Classification (HP)
|
100% |
384
71.4 IPS |
|
|
Image Classification (Q)
|
99% |
3682
686.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1170
19.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
642
10.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
5457
88.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3647
4.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
2643
3.08 IPS |
|
|
Pose Estimation (Q)
|
94% |
9479
11.1 IPS |
|
|
Object Detection (SP)
|
100% |
1685
133.7 IPS |
|
|
Object Detection (HP)
|
100% |
352
27.9 IPS |
|
|
Object Detection (Q)
|
86% |
3555
285.7 IPS |
|
|
Face Detection (SP)
|
100% |
4926
58.5 IPS |
|
|
Face Detection (HP)
|
100% |
899
10.7 IPS |
|
|
Face Detection (Q)
|
97% |
5673
67.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4434
34.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1064
8.20 IPS |
|
|
Depth Estimation (Q)
|
78% |
7639
61.0 IPS |
|
|
Style Transfer (SP)
|
100% |
6229
8.01 IPS |
|
|
Style Transfer (HP)
|
100% |
4170
5.36 IPS |
|
|
Style Transfer (Q)
|
98% |
13257
17.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1496
55.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1079
39.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3232
119.7 IPS |
|
|
Text Classification (SP)
|
100% |
1016
1.36 KIPS |
|
|
Text Classification (HP)
|
100% |
464
618.9 IPS |
|
|
Text Classification (Q)
|
97% |
639
856.7 IPS |
|
|
Machine Translation (SP)
|
100% |
907
15.6 IPS |
|
|
Machine Translation (HP)
|
100% |
386
6.65 IPS |
|
|
Machine Translation (Q)
|
65% |
1826
36.7 IPS |
