Ideadpad Lenovo - 82MD - Iris2 LENOVO 82MD
Geekbench AI Score
2482
Single Precision Score
2608
Half Precision Score
1593
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | johnny_capivara |
| Upload Date | December 24 2025 09:26 PM |
| Views | 7 |
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 82MD |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1165G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 2.80 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1091
202.8 IPS |
|
|
Image Classification (HP)
|
100% |
1153
214.4 IPS |
|
|
Image Classification (Q)
|
100% |
963
179.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1566
25.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1907
30.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1154
18.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9230
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
11211
13.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
5086
5.96 IPS |
|
|
Object Detection (SP)
|
100% |
1327
105.2 IPS |
|
|
Object Detection (HP)
|
98% |
1222
97.2 IPS |
|
|
Object Detection (Q)
|
86% |
1109
89.2 IPS |
|
|
Face Detection (SP)
|
100% |
2284
27.1 IPS |
|
|
Face Detection (HP)
|
100% |
3153
37.5 IPS |
|
|
Face Detection (Q)
|
97% |
1681
20.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5207
40.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
6040
46.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
3685
29.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21882
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
28905
37.2 IPS |
|
|
Style Transfer (Q)
|
98% |
13258
17.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2936
108.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3934
145.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1310
48.5 IPS |
|
|
Text Classification (SP)
|
100% |
667
889.8 IPS |
|
|
Text Classification (HP)
|
100% |
290
387.7 IPS |
|
|
Text Classification (Q)
|
97% |
385
516.4 IPS |
|
|
Machine Translation (SP)
|
100% |
833
14.3 IPS |
|
|
Machine Translation (HP)
|
100% |
771
13.3 IPS |
|
|
Machine Translation (Q)
|
70% |
406
7.61 IPS |
