LENOVO 81TK
Geekbench AI Score
433
Single Precision Score
242
Half Precision Score
684
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | mzmb-1 |
| Upload Date | December 08 2025 02:39 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i3-10110U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 81TK |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | Intel Core i3-10110U |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 12 |
| Base Frequency | 2.59 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 4.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
285
52.9 IPS |
|
|
Image Classification (HP)
|
100% |
97
18.0 IPS |
|
|
Image Classification (Q)
|
96% |
484
90.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
174
2.82 IPS |
|
|
Image Segmentation (HP)
|
100% |
146
2.36 IPS |
|
|
Image Segmentation (Q)
|
97% |
593
9.65 IPS |
|
|
Pose Estimation (SP)
|
100% |
682
0.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
501
0.58 IPS |
|
|
Pose Estimation (Q)
|
86% |
1345
1.59 IPS |
|
|
Object Detection (SP)
|
100% |
238
18.9 IPS |
|
|
Object Detection (HP)
|
100% |
142
11.3 IPS |
|
|
Object Detection (Q)
|
58% |
297
32.4 IPS |
|
|
Face Detection (SP)
|
100% |
622
7.39 IPS |
|
|
Face Detection (HP)
|
100% |
315
3.74 IPS |
|
|
Face Detection (Q)
|
96% |
1390
16.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
973
7.50 IPS |
|
|
Depth Estimation (HP)
|
99% |
397
3.06 IPS |
|
|
Depth Estimation (Q)
|
78% |
1289
10.3 IPS |
|
|
Style Transfer (SP)
|
100% |
1364
1.75 IPS |
|
|
Style Transfer (HP)
|
100% |
963
1.24 IPS |
|
|
Style Transfer (Q)
|
87% |
1828
2.38 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
287
10.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
209
7.71 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
423
15.7 IPS |
|
|
Text Classification (SP)
|
100% |
296
394.9 IPS |
|
|
Text Classification (HP)
|
100% |
165
220.5 IPS |
|
|
Text Classification (Q)
|
97% |
301
403.1 IPS |
|
|
Machine Translation (SP)
|
100% |
411
7.08 IPS |
|
|
Machine Translation (HP)
|
100% |
170
2.93 IPS |
|
|
Machine Translation (Q)
|
68% |
473
9.15 IPS |
