LENOVO 81WE
Geekbench AI Score
1970
Single Precision Score
2165
Half Precision Score
5898
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | FrankenStryker |
| Upload Date | November 14 2025 09:40 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-1035G1 CPU @ 1.00GHz |
| 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% |
1272
236.6 IPS |
|
|
Image Classification (HP)
|
100% |
1394
259.3 IPS |
|
|
Image Classification (Q)
|
100% |
3574
664.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
597
9.68 IPS |
|
|
Image Segmentation (HP)
|
100% |
1281
20.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3372
54.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2598
3.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
2469
2.88 IPS |
|
|
Pose Estimation (Q)
|
96% |
11047
12.9 IPS |
|
|
Object Detection (SP)
|
100% |
1276
101.2 IPS |
|
|
Object Detection (HP)
|
100% |
1342
106.4 IPS |
|
|
Object Detection (Q)
|
88% |
4224
338.6 IPS |
|
|
Face Detection (SP)
|
100% |
2529
30.0 IPS |
|
|
Face Detection (HP)
|
100% |
2528
30.0 IPS |
|
|
Face Detection (Q)
|
100% |
9654
114.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3606
27.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3346
25.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
11039
85.9 IPS |
|
|
Style Transfer (SP)
|
100% |
7063
9.08 IPS |
|
|
Style Transfer (HP)
|
100% |
7039
9.05 IPS |
|
|
Style Transfer (Q)
|
98% |
24204
31.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1474
54.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1567
57.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4903
181.6 IPS |
|
|
Text Classification (SP)
|
100% |
1512
2.02 KIPS |
|
|
Text Classification (HP)
|
100% |
1671
2.23 KIPS |
|
|
Text Classification (Q)
|
92% |
2989
4.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
2448
42.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2454
42.3 IPS |
|
|
Machine Translation (Q)
|
100% |
2399
41.3 IPS |
