LENOVO 81WE
Geekbench AI Score
919
Single Precision Score
531
Half Precision Score
1778
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | kbuck320 |
| Upload Date | July 03 2025 07:34 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i3-1005G1 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | LENOVO 81WE |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i3-1005G1 |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 126 Stepping 5 |
| Base Frequency | 1.19 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 12.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
618
115.0 IPS |
|
|
Image Classification (HP)
|
100% |
239
44.5 IPS |
|
|
Image Classification (Q)
|
99% |
1491
278.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
420
6.81 IPS |
|
|
Image Segmentation (HP)
|
100% |
329
5.33 IPS |
|
|
Image Segmentation (Q)
|
98% |
1006
16.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1147
1.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
952
1.11 IPS |
|
|
Pose Estimation (Q)
|
94% |
4207
4.93 IPS |
|
|
Object Detection (SP)
|
100% |
595
47.2 IPS |
|
|
Object Detection (HP)
|
100% |
276
21.9 IPS |
|
|
Object Detection (Q)
|
86% |
1266
101.7 IPS |
|
|
Face Detection (SP)
|
100% |
1373
16.3 IPS |
|
|
Face Detection (HP)
|
100% |
590
7.02 IPS |
|
|
Face Detection (Q)
|
97% |
2754
32.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1560
12.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
755
5.81 IPS |
|
|
Depth Estimation (Q)
|
78% |
3573
28.5 IPS |
|
|
Style Transfer (SP)
|
100% |
2878
3.70 IPS |
|
|
Style Transfer (HP)
|
100% |
2213
2.84 IPS |
|
|
Style Transfer (Q)
|
98% |
5823
7.51 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
622
23.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
534
19.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1772
65.6 IPS |
|
|
Text Classification (SP)
|
100% |
695
927.2 IPS |
|
|
Text Classification (HP)
|
100% |
412
550.1 IPS |
|
|
Text Classification (Q)
|
97% |
334
447.3 IPS |
|
|
Machine Translation (SP)
|
100% |
916
15.8 IPS |
|
|
Machine Translation (HP)
|
100% |
398
6.86 IPS |
|
|
Machine Translation (Q)
|
65% |
1170
23.5 IPS |
