LENOVO 81WE
Geekbench AI Score
1487
Single Precision Score
2309
Half Precision Score
2323
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | FrankenStryker |
| Upload Date | November 14 2025 10:00 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics (iGPU) |
| 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% |
936
174.0 IPS |
|
|
Image Classification (HP)
|
100% |
1514
281.5 IPS |
|
|
Image Classification (Q)
|
100% |
1346
250.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1111
18.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2079
33.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2005
32.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2874
3.35 IPS |
|
|
Pose Estimation (HP)
|
99% |
2079
2.43 IPS |
|
|
Pose Estimation (Q)
|
96% |
4760
5.58 IPS |
|
|
Object Detection (SP)
|
100% |
910
72.2 IPS |
|
|
Object Detection (HP)
|
99% |
1473
117.2 IPS |
|
|
Object Detection (Q)
|
88% |
1433
114.9 IPS |
|
|
Face Detection (SP)
|
100% |
2249
26.7 IPS |
|
|
Face Detection (HP)
|
100% |
4261
50.6 IPS |
|
|
Face Detection (Q)
|
97% |
3903
46.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2977
22.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
5052
39.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
4550
35.4 IPS |
|
|
Style Transfer (SP)
|
100% |
7129
9.16 IPS |
|
|
Style Transfer (HP)
|
100% |
11622
14.9 IPS |
|
|
Style Transfer (Q)
|
98% |
10829
14.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1273
47.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2090
77.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1957
72.5 IPS |
|
|
Text Classification (SP)
|
71% |
551
797.2 IPS |
|
|
Text Classification (HP)
|
71% |
714
1.03 KIPS |
|
|
Text Classification (Q)
|
92% |
544
731.0 IPS |
|
|
Machine Translation (SP)
|
100% |
583
10.0 IPS |
|
|
Machine Translation (HP)
|
99% |
1201
20.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1216
21.0 IPS |
