LENOVO 82XD
Geekbench AI Score
2783
Single Precision Score
1195
Half Precision Score
5571
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | saalharbi_ |
| Upload Date | December 13 2025 09:50 PM |
| Views | 11 |
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% |
2168
403.2 IPS |
|
|
Image Classification (HP)
|
100% |
536
99.6 IPS |
|
|
Image Classification (Q)
|
99% |
4823
899.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1234
20.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
829
13.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
5011
81.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4215
4.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
2607
3.04 IPS |
|
|
Pose Estimation (Q)
|
94% |
14812
17.4 IPS |
|
|
Object Detection (SP)
|
100% |
2028
160.9 IPS |
|
|
Object Detection (HP)
|
100% |
609
48.3 IPS |
|
|
Object Detection (Q)
|
86% |
5031
404.3 IPS |
|
|
Face Detection (SP)
|
100% |
5250
62.4 IPS |
|
|
Face Detection (HP)
|
100% |
1360
16.2 IPS |
|
|
Face Detection (Q)
|
97% |
6288
75.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5284
40.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1619
12.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
11540
92.1 IPS |
|
|
Style Transfer (SP)
|
100% |
9364
12.0 IPS |
|
|
Style Transfer (HP)
|
100% |
6540
8.41 IPS |
|
|
Style Transfer (Q)
|
98% |
12607
16.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1797
66.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1296
47.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4685
173.5 IPS |
|
|
Text Classification (SP)
|
100% |
1377
1.84 KIPS |
|
|
Text Classification (HP)
|
100% |
663
884.5 IPS |
|
|
Text Classification (Q)
|
97% |
1264
1.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
1898
32.7 IPS |
|
|
Machine Translation (HP)
|
100% |
683
11.8 IPS |
|
|
Machine Translation (Q)
|
65% |
2952
59.3 IPS |
