LENOVO 81TD
Geekbench AI Score
768
Single Precision Score
382
Half Precision Score
1101
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | AMFarhan |
| Upload Date | April 12 2025 02:35 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-10510U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 81TD |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-10510U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 12 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 12.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
649
120.8 IPS |
|
|
Image Classification (HP)
|
100% |
196
36.4 IPS |
|
|
Image Classification (Q)
|
96% |
933
174.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
363
5.88 IPS |
|
|
Image Segmentation (HP)
|
100% |
265
4.29 IPS |
|
|
Image Segmentation (Q)
|
97% |
710
11.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1159
1.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
747
0.87 IPS |
|
|
Pose Estimation (Q)
|
86% |
1827
2.16 IPS |
|
|
Object Detection (SP)
|
100% |
474
37.6 IPS |
|
|
Object Detection (HP)
|
100% |
180
14.3 IPS |
|
|
Object Detection (Q)
|
58% |
626
68.4 IPS |
|
|
Face Detection (SP)
|
100% |
1174
13.9 IPS |
|
|
Face Detection (HP)
|
100% |
405
4.82 IPS |
|
|
Face Detection (Q)
|
96% |
1823
21.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1271
9.80 IPS |
|
|
Depth Estimation (HP)
|
99% |
491
3.79 IPS |
|
|
Depth Estimation (Q)
|
78% |
1988
15.9 IPS |
|
|
Style Transfer (SP)
|
100% |
2466
3.17 IPS |
|
|
Style Transfer (HP)
|
100% |
1757
2.26 IPS |
|
|
Style Transfer (Q)
|
87% |
3553
4.62 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
477
17.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
384
14.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
700
26.0 IPS |
|
|
Text Classification (SP)
|
100% |
480
641.1 IPS |
|
|
Text Classification (HP)
|
100% |
283
378.0 IPS |
|
|
Text Classification (Q)
|
97% |
465
622.8 IPS |
|
|
Machine Translation (SP)
|
100% |
657
11.3 IPS |
|
|
Machine Translation (HP)
|
100% |
252
4.34 IPS |
|
|
Machine Translation (Q)
|
68% |
831
16.1 IPS |
