LENOVO 82U9
Geekbench AI Score
2849
Single Precision Score
2920
Half Precision Score
1830
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Laptop_Testers |
| Upload Date | September 14 2025 11:08 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Iris(R) Xe Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 82U9 |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1260P |
| Topology | 1 Processor, 12 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1212
225.4 IPS |
|
|
Image Classification (HP)
|
100% |
1319
245.3 IPS |
|
|
Image Classification (Q)
|
100% |
1031
191.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1970
31.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2272
36.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1469
23.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10194
11.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
11365
13.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
5866
6.87 IPS |
|
|
Object Detection (SP)
|
100% |
1388
110.1 IPS |
|
|
Object Detection (HP)
|
98% |
1287
102.4 IPS |
|
|
Object Detection (Q)
|
86% |
1171
94.2 IPS |
|
|
Face Detection (SP)
|
100% |
2784
33.1 IPS |
|
|
Face Detection (HP)
|
100% |
3451
41.0 IPS |
|
|
Face Detection (Q)
|
97% |
2117
25.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5576
43.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
6336
49.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
3982
31.9 IPS |
|
|
Style Transfer (SP)
|
100% |
23092
29.7 IPS |
|
|
Style Transfer (HP)
|
100% |
30587
39.3 IPS |
|
|
Style Transfer (Q)
|
98% |
15258
19.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3099
114.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4449
164.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1407
52.1 IPS |
|
|
Text Classification (SP)
|
100% |
906
1.21 KIPS |
|
|
Text Classification (HP)
|
100% |
347
463.4 IPS |
|
|
Text Classification (Q)
|
97% |
470
630.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1037
17.9 IPS |
|
|
Machine Translation (HP)
|
100% |
996
17.2 IPS |
|
|
Machine Translation (Q)
|
70% |
477
8.95 IPS |
