LENOVO 82XD
Geekbench AI Score
2839
Single Precision Score
1165
Half Precision Score
5558
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | saalharbi_ |
| Upload Date | December 08 2025 07:54 PM |
| Views | 9 |
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 82XD |
| 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% |
2191
407.4 IPS |
|
|
Image Classification (HP)
|
100% |
521
97.0 IPS |
|
|
Image Classification (Q)
|
99% |
5021
936.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1291
20.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
741
12.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
5948
96.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4171
4.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
2619
3.06 IPS |
|
|
Pose Estimation (Q)
|
94% |
14192
16.6 IPS |
|
|
Object Detection (SP)
|
100% |
1931
153.2 IPS |
|
|
Object Detection (HP)
|
100% |
603
47.8 IPS |
|
|
Object Detection (Q)
|
86% |
4821
387.4 IPS |
|
|
Face Detection (SP)
|
100% |
5507
65.4 IPS |
|
|
Face Detection (HP)
|
100% |
1282
15.2 IPS |
|
|
Face Detection (Q)
|
97% |
6385
76.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5294
40.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1615
12.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
10959
87.4 IPS |
|
|
Style Transfer (SP)
|
100% |
9661
12.4 IPS |
|
|
Style Transfer (HP)
|
100% |
6414
8.25 IPS |
|
|
Style Transfer (Q)
|
98% |
12306
15.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1856
68.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1318
48.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4205
155.7 IPS |
|
|
Text Classification (SP)
|
100% |
1468
1.96 KIPS |
|
|
Text Classification (HP)
|
100% |
668
891.4 IPS |
|
|
Text Classification (Q)
|
97% |
1314
1.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
1950
33.6 IPS |
|
|
Machine Translation (HP)
|
100% |
647
11.1 IPS |
|
|
Machine Translation (Q)
|
65% |
2894
58.2 IPS |
