LENOVO 81TD
Geekbench AI Score
922
Single Precision Score
460
Half Precision Score
1409
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | AMFarhan |
| Upload Date | April 09 2025 04:05 AM |
| Views | 9 |
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 |
| 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% |
707
131.4 IPS |
|
|
Image Classification (HP)
|
100% |
232
43.1 IPS |
|
|
Image Classification (Q)
|
96% |
1235
230.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
502
8.14 IPS |
|
|
Image Segmentation (HP)
|
100% |
312
5.05 IPS |
|
|
Image Segmentation (Q)
|
97% |
902
14.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1193
1.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
953
1.11 IPS |
|
|
Pose Estimation (Q)
|
86% |
2414
2.85 IPS |
|
|
Object Detection (SP)
|
100% |
609
48.3 IPS |
|
|
Object Detection (HP)
|
100% |
225
17.9 IPS |
|
|
Object Detection (Q)
|
58% |
831
90.8 IPS |
|
|
Face Detection (SP)
|
100% |
1485
17.6 IPS |
|
|
Face Detection (HP)
|
100% |
468
5.56 IPS |
|
|
Face Detection (Q)
|
96% |
2009
24.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1427
11.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
540
4.16 IPS |
|
|
Depth Estimation (Q)
|
78% |
2514
20.1 IPS |
|
|
Style Transfer (SP)
|
100% |
2987
3.84 IPS |
|
|
Style Transfer (HP)
|
100% |
2149
2.76 IPS |
|
|
Style Transfer (Q)
|
87% |
4516
5.88 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
589
21.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
455
16.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
938
34.8 IPS |
|
|
Text Classification (SP)
|
100% |
587
783.8 IPS |
|
|
Text Classification (HP)
|
100% |
379
506.3 IPS |
|
|
Text Classification (Q)
|
97% |
599
802.8 IPS |
|
|
Machine Translation (SP)
|
100% |
793
13.7 IPS |
|
|
Machine Translation (HP)
|
100% |
294
5.06 IPS |
|
|
Machine Translation (Q)
|
68% |
1078
20.8 IPS |
