LENOVO 82TS
Geekbench AI Score
1359
Single Precision Score
702
Half Precision Score
2702
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | cammabis |
| Upload Date | November 16 2025 04:35 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i3-1215U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | LENOVO 82TS |
| Motherboard | LENOVO INVALID |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i3-1215U |
| Topology | 1 Processor, 6 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 4 |
| Base Frequency | 1.20 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
547
101.7 IPS |
|
|
Image Classification (HP)
|
100% |
353
65.7 IPS |
|
|
Image Classification (Q)
|
99% |
2633
491.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
764
12.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
529
8.58 IPS |
|
|
Image Segmentation (Q)
|
98% |
1956
31.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2003
2.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
1266
1.48 IPS |
|
|
Pose Estimation (Q)
|
94% |
6705
7.86 IPS |
|
|
Object Detection (SP)
|
100% |
1053
83.5 IPS |
|
|
Object Detection (HP)
|
100% |
395
31.3 IPS |
|
|
Object Detection (Q)
|
86% |
2059
165.5 IPS |
|
|
Face Detection (SP)
|
100% |
2560
30.4 IPS |
|
|
Face Detection (HP)
|
100% |
882
10.5 IPS |
|
|
Face Detection (Q)
|
97% |
4039
48.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2601
20.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
809
6.23 IPS |
|
|
Depth Estimation (Q)
|
78% |
6308
50.3 IPS |
|
|
Style Transfer (SP)
|
100% |
4263
5.48 IPS |
|
|
Style Transfer (HP)
|
100% |
3019
3.88 IPS |
|
|
Style Transfer (Q)
|
98% |
8889
11.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
902
33.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
762
28.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2363
87.5 IPS |
|
|
Text Classification (SP)
|
100% |
886
1.18 KIPS |
|
|
Text Classification (HP)
|
100% |
468
624.8 IPS |
|
|
Text Classification (Q)
|
97% |
353
472.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1076
18.5 IPS |
|
|
Machine Translation (HP)
|
100% |
406
6.99 IPS |
|
|
Machine Translation (Q)
|
65% |
1546
31.1 IPS |
