LENOVO 81WE
Geekbench AI Score
1031
Single Precision Score
1014
Half Precision Score
625
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| Upload Date | November 08 2025 02:36 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i5-1035G1 |
| System Information | |
|---|---|
| Operating System | Linux Mint 22.1 |
| Model | LENOVO 81WE |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1035G1 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 126 Stepping 5 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 7.32 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
761
141.5 IPS |
|
|
Image Classification (HP)
|
100% |
759
141.2 IPS |
|
|
Image Classification (Q)
|
99% |
336
62.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
879
14.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
879
14.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
475
7.72 IPS |
|
|
Pose Estimation (SP)
|
100% |
1218
1.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
1060
1.24 IPS |
|
|
Pose Estimation (Q)
|
96% |
842
0.99 IPS |
|
|
Object Detection (SP)
|
100% |
739
58.6 IPS |
|
|
Object Detection (HP)
|
100% |
731
58.0 IPS |
|
|
Object Detection (Q)
|
85% |
446
35.9 IPS |
|
|
Face Detection (SP)
|
100% |
1264
15.0 IPS |
|
|
Face Detection (HP)
|
100% |
1269
15.1 IPS |
|
|
Face Detection (Q)
|
97% |
1031
12.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1220
9.40 IPS |
|
|
Depth Estimation (HP)
|
99% |
1191
9.18 IPS |
|
|
Depth Estimation (Q)
|
63% |
858
8.05 IPS |
|
|
Style Transfer (SP)
|
100% |
1539
1.98 IPS |
|
|
Style Transfer (HP)
|
100% |
1555
2.00 IPS |
|
|
Style Transfer (Q)
|
98% |
2132
2.75 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
666
24.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
669
24.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
599
22.2 IPS |
|
|
Text Classification (SP)
|
100% |
1162
1.55 KIPS |
|
|
Text Classification (HP)
|
100% |
1170
1.56 KIPS |
|
|
Text Classification (Q)
|
92% |
400
537.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1231
21.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1216
20.9 IPS |
|
|
Machine Translation (Q)
|
58% |
339
7.95 IPS |
