LENOVO 82XD
Geekbench AI Score
2137
Single Precision Score
976
Half Precision Score
4412
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | S096 |
| Upload Date | December 08 2025 06:43 PM |
| Views | 4 |
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% |
866
161.1 IPS |
|
|
Image Classification (HP)
|
100% |
181
33.7 IPS |
|
|
Image Classification (Q)
|
99% |
1740
324.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
483
7.83 IPS |
|
|
Image Segmentation (HP)
|
100% |
310
5.02 IPS |
|
|
Image Segmentation (Q)
|
98% |
2255
36.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3345
3.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
2833
3.31 IPS |
|
|
Pose Estimation (Q)
|
94% |
13232
15.5 IPS |
|
|
Object Detection (SP)
|
100% |
1746
138.5 IPS |
|
|
Object Detection (HP)
|
100% |
586
46.5 IPS |
|
|
Object Detection (Q)
|
86% |
4043
324.9 IPS |
|
|
Face Detection (SP)
|
100% |
5137
61.0 IPS |
|
|
Face Detection (HP)
|
100% |
1379
16.4 IPS |
|
|
Face Detection (Q)
|
97% |
6535
77.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4728
36.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1710
13.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
9624
76.8 IPS |
|
|
Style Transfer (SP)
|
100% |
9306
12.0 IPS |
|
|
Style Transfer (HP)
|
100% |
6977
8.97 IPS |
|
|
Style Transfer (Q)
|
98% |
16885
21.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1731
63.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1352
49.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3953
146.4 IPS |
|
|
Text Classification (SP)
|
100% |
1244
1.66 KIPS |
|
|
Text Classification (HP)
|
100% |
583
778.1 IPS |
|
|
Text Classification (Q)
|
97% |
1296
1.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
1673
28.8 IPS |
|
|
Machine Translation (HP)
|
100% |
654
11.3 IPS |
|
|
Machine Translation (Q)
|
65% |
2452
49.3 IPS |
