LENOVO 82XD
Geekbench AI Score
2574
Single Precision Score
1067
Half Precision Score
4555
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | ykalthubaiti |
| Upload Date | April 11 2025 12:58 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 |
| 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% |
2435
452.9 IPS |
|
|
Image Classification (HP)
|
100% |
498
92.6 IPS |
|
|
Image Classification (Q)
|
99% |
4696
876.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1326
21.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
708
11.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2541
41.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3880
4.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
2705
3.16 IPS |
|
|
Pose Estimation (Q)
|
94% |
13346
15.6 IPS |
|
|
Object Detection (SP)
|
100% |
1752
139.0 IPS |
|
|
Object Detection (HP)
|
100% |
511
40.5 IPS |
|
|
Object Detection (Q)
|
86% |
4210
338.3 IPS |
|
|
Face Detection (SP)
|
100% |
4787
56.9 IPS |
|
|
Face Detection (HP)
|
100% |
1157
13.7 IPS |
|
|
Face Detection (Q)
|
97% |
6180
73.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4837
37.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1435
11.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
9437
75.3 IPS |
|
|
Style Transfer (SP)
|
100% |
8947
11.5 IPS |
|
|
Style Transfer (HP)
|
100% |
6409
8.24 IPS |
|
|
Style Transfer (Q)
|
98% |
12104
15.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1675
61.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1253
46.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2728
101.0 IPS |
|
|
Text Classification (SP)
|
100% |
1169
1.56 KIPS |
|
|
Text Classification (HP)
|
100% |
584
780.0 IPS |
|
|
Text Classification (Q)
|
97% |
1251
1.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
1439
24.8 IPS |
|
|
Machine Translation (HP)
|
100% |
505
8.70 IPS |
|
|
Machine Translation (Q)
|
65% |
2381
47.8 IPS |
