LENOVO 82RK
Geekbench AI Score
2182
Single Precision Score
2254
Half Precision Score
1384
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Rock_man77 |
| Upload Date | December 01 2025 04:36 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Iris(R) Xe Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 82RK |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1235U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 4 |
| Base Frequency | 1.30 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
910
169.3 IPS |
|
|
Image Classification (HP)
|
100% |
965
179.5 IPS |
|
|
Image Classification (Q)
|
100% |
849
157.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1369
22.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1664
27.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1012
16.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7377
8.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
9056
10.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
4317
5.06 IPS |
|
|
Object Detection (SP)
|
100% |
1084
86.0 IPS |
|
|
Object Detection (HP)
|
98% |
960
76.4 IPS |
|
|
Object Detection (Q)
|
86% |
892
71.7 IPS |
|
|
Face Detection (SP)
|
100% |
1934
23.0 IPS |
|
|
Face Detection (HP)
|
100% |
2514
29.9 IPS |
|
|
Face Detection (Q)
|
97% |
1394
16.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4404
33.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
4790
37.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
3086
24.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17941
23.1 IPS |
|
|
Style Transfer (HP)
|
100% |
22918
29.5 IPS |
|
|
Style Transfer (Q)
|
98% |
11259
14.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2789
103.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3327
122.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1162
43.0 IPS |
|
|
Text Classification (SP)
|
100% |
719
959.2 IPS |
|
|
Text Classification (HP)
|
100% |
351
469.1 IPS |
|
|
Text Classification (Q)
|
97% |
359
480.7 IPS |
|
|
Machine Translation (SP)
|
100% |
804
13.8 IPS |
|
|
Machine Translation (HP)
|
100% |
755
13.0 IPS |
|
|
Machine Translation (Q)
|
70% |
388
7.27 IPS |
