Ideadpad Lenovo - 82MD - Iris1 LENOVO 82MD
Geekbench AI Score
2520
Single Precision Score
2669
Half Precision Score
1638
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | johnny_capivara |
| Upload Date | December 24 2025 09:09 PM |
| 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 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% |
1031
191.8 IPS |
|
|
Image Classification (HP)
|
100% |
1209
224.8 IPS |
|
|
Image Classification (Q)
|
100% |
917
170.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1636
26.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1755
28.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1219
19.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9383
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
10266
12.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
5261
6.16 IPS |
|
|
Object Detection (SP)
|
100% |
1373
108.9 IPS |
|
|
Object Detection (HP)
|
98% |
1248
99.3 IPS |
|
|
Object Detection (Q)
|
86% |
1134
91.1 IPS |
|
|
Face Detection (SP)
|
100% |
2259
26.8 IPS |
|
|
Face Detection (HP)
|
100% |
3252
38.6 IPS |
|
|
Face Detection (Q)
|
97% |
1723
20.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5327
41.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
6279
48.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
3788
30.3 IPS |
|
|
Style Transfer (SP)
|
100% |
22614
29.1 IPS |
|
|
Style Transfer (HP)
|
100% |
30145
38.8 IPS |
|
|
Style Transfer (Q)
|
98% |
13803
17.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2841
104.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4245
156.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1334
49.4 IPS |
|
|
Text Classification (SP)
|
100% |
698
931.1 IPS |
|
|
Text Classification (HP)
|
100% |
306
408.4 IPS |
|
|
Text Classification (Q)
|
97% |
413
552.9 IPS |
|
|
Machine Translation (SP)
|
100% |
881
15.2 IPS |
|
|
Machine Translation (HP)
|
100% |
845
14.6 IPS |
|
|
Machine Translation (Q)
|
70% |
422
7.91 IPS |
