LENOVO 82X7
Geekbench AI Score
1920
Single Precision Score
2010
Half Precision Score
1249
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | kshaikh |
| Upload Date | July 11 2025 07:36 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 82X7 |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i3-1315U |
| Topology | 1 Processor, 6 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 3 |
| Base Frequency | 1.20 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
794
147.6 IPS |
|
|
Image Classification (HP)
|
100% |
806
149.9 IPS |
|
|
Image Classification (Q)
|
100% |
687
127.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1213
19.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1480
24.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
912
14.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6901
8.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
7934
9.26 IPS |
|
|
Pose Estimation (Q)
|
96% |
3957
4.63 IPS |
|
|
Object Detection (SP)
|
100% |
974
77.3 IPS |
|
|
Object Detection (HP)
|
98% |
851
67.7 IPS |
|
|
Object Detection (Q)
|
86% |
812
65.3 IPS |
|
|
Face Detection (SP)
|
100% |
1787
21.2 IPS |
|
|
Face Detection (HP)
|
100% |
2231
26.5 IPS |
|
|
Face Detection (Q)
|
97% |
1327
15.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3938
30.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
4331
33.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
2802
22.4 IPS |
|
|
Style Transfer (SP)
|
100% |
15471
19.9 IPS |
|
|
Style Transfer (HP)
|
100% |
20059
25.8 IPS |
|
|
Style Transfer (Q)
|
98% |
10147
13.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2314
85.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2921
107.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1034
38.3 IPS |
|
|
Text Classification (SP)
|
100% |
514
686.4 IPS |
|
|
Text Classification (HP)
|
100% |
300
400.1 IPS |
|
|
Text Classification (Q)
|
97% |
300
401.4 IPS |
|
|
Machine Translation (SP)
|
100% |
815
14.0 IPS |
|
|
Machine Translation (HP)
|
100% |
787
13.6 IPS |
|
|
Machine Translation (Q)
|
70% |
393
7.36 IPS |
