LENOVO 82XD
Geekbench AI Score
2746
Single Precision Score
1145
Half Precision Score
5553
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | saalharbi_ |
| Upload Date | December 08 2025 07:49 PM |
| Views | 7 |
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% |
2217
412.4 IPS |
|
|
Image Classification (HP)
|
100% |
525
97.7 IPS |
|
|
Image Classification (Q)
|
99% |
4226
788.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1304
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
818
13.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
5953
96.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4122
4.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
2570
3.00 IPS |
|
|
Pose Estimation (Q)
|
94% |
12582
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
1855
147.1 IPS |
|
|
Object Detection (HP)
|
100% |
517
41.0 IPS |
|
|
Object Detection (Q)
|
86% |
4908
394.4 IPS |
|
|
Face Detection (SP)
|
100% |
5439
64.6 IPS |
|
|
Face Detection (HP)
|
100% |
1256
14.9 IPS |
|
|
Face Detection (Q)
|
97% |
6117
72.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5223
40.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1500
11.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
11017
87.9 IPS |
|
|
Style Transfer (SP)
|
100% |
8850
11.4 IPS |
|
|
Style Transfer (HP)
|
100% |
5716
7.35 IPS |
|
|
Style Transfer (Q)
|
98% |
14770
19.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1896
70.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1363
50.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4371
161.9 IPS |
|
|
Text Classification (SP)
|
100% |
1358
1.81 KIPS |
|
|
Text Classification (HP)
|
100% |
745
994.8 IPS |
|
|
Text Classification (Q)
|
97% |
1404
1.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
1707
29.4 IPS |
|
|
Machine Translation (HP)
|
100% |
623
10.7 IPS |
|
|
Machine Translation (Q)
|
65% |
2940
59.1 IPS |
