LENOVO 82U9
Geekbench AI Score
2558
Single Precision Score
2640
Half Precision Score
1662
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Laptop_Testers |
| Upload Date | September 06 2025 05:35 AM |
| Views | 14 |
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% |
1106
205.6 IPS |
|
|
Image Classification (HP)
|
100% |
1246
231.7 IPS |
|
|
Image Classification (Q)
|
100% |
965
179.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1832
29.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2191
35.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1297
21.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8996
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
9983
11.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
5131
6.01 IPS |
|
|
Object Detection (SP)
|
100% |
1276
101.2 IPS |
|
|
Object Detection (HP)
|
98% |
1030
81.9 IPS |
|
|
Object Detection (Q)
|
86% |
968
77.8 IPS |
|
|
Face Detection (SP)
|
100% |
2378
28.3 IPS |
|
|
Face Detection (HP)
|
100% |
3045
36.2 IPS |
|
|
Face Detection (Q)
|
97% |
1887
22.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4766
36.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
5798
44.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
3586
28.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18225
23.4 IPS |
|
|
Style Transfer (HP)
|
100% |
26726
34.4 IPS |
|
|
Style Transfer (Q)
|
98% |
13364
17.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2783
102.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3928
145.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1325
49.1 IPS |
|
|
Text Classification (SP)
|
100% |
843
1.12 KIPS |
|
|
Text Classification (HP)
|
100% |
327
436.1 IPS |
|
|
Text Classification (Q)
|
97% |
452
605.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1066
18.4 IPS |
|
|
Machine Translation (HP)
|
100% |
969
16.7 IPS |
|
|
Machine Translation (Q)
|
70% |
480
9.01 IPS |
