LENOVO 81WE
Geekbench AI Score
942
Single Precision Score
1078
Half Precision Score
705
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | FrankenStryker |
| Upload Date | November 14 2025 09:26 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | LENOVO 81WE |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1035G1 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 126 Stepping 5 |
| Base Frequency | 1.19 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
396
73.6 IPS |
|
|
Image Classification (HP)
|
100% |
437
81.3 IPS |
|
|
Image Classification (Q)
|
100% |
361
67.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
507
8.21 IPS |
|
|
Image Segmentation (HP)
|
100% |
615
9.97 IPS |
|
|
Image Segmentation (Q)
|
98% |
432
7.02 IPS |
|
|
Pose Estimation (SP)
|
100% |
3078
3.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
4146
4.84 IPS |
|
|
Pose Estimation (Q)
|
95% |
2376
2.79 IPS |
|
|
Object Detection (SP)
|
100% |
454
36.0 IPS |
|
|
Object Detection (HP)
|
98% |
436
34.7 IPS |
|
|
Object Detection (Q)
|
86% |
406
32.7 IPS |
|
|
Face Detection (SP)
|
100% |
786
9.34 IPS |
|
|
Face Detection (HP)
|
100% |
983
11.7 IPS |
|
|
Face Detection (Q)
|
97% |
655
7.82 IPS |
|
|
Depth Estimation (SP)
|
100% |
1721
13.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
2080
16.1 IPS |
|
|
Depth Estimation (Q)
|
76% |
1372
11.0 IPS |
|
|
Style Transfer (SP)
|
100% |
7314
9.40 IPS |
|
|
Style Transfer (HP)
|
100% |
10185
13.1 IPS |
|
|
Style Transfer (Q)
|
98% |
5321
6.86 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1136
42.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1768
65.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
692
25.6 IPS |
|
|
Text Classification (SP)
|
100% |
349
465.6 IPS |
|
|
Text Classification (HP)
|
100% |
220
293.3 IPS |
|
|
Text Classification (Q)
|
97% |
228
305.2 IPS |
|
|
Machine Translation (SP)
|
100% |
502
8.64 IPS |
|
|
Machine Translation (HP)
|
100% |
542
9.33 IPS |
|
|
Machine Translation (Q)
|
70% |
271
5.09 IPS |
