LENOVO 82KA
Geekbench AI Score
1300
Single Precision Score
704
Half Precision Score
2911
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | StingerYar |
| Upload Date | October 06 2025 12:36 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i3-1115G4 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro Education (64-bit) |
| Model | LENOVO 82KA |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i3-1115G4 |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
935
173.9 IPS |
|
|
Image Classification (HP)
|
100% |
323
60.2 IPS |
|
|
Image Classification (Q)
|
99% |
2178
406.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
602
9.75 IPS |
|
|
Image Segmentation (HP)
|
100% |
427
6.92 IPS |
|
|
Image Segmentation (Q)
|
98% |
2365
38.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1635
1.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
1388
1.62 IPS |
|
|
Pose Estimation (Q)
|
94% |
5765
6.76 IPS |
|
|
Object Detection (SP)
|
100% |
859
68.1 IPS |
|
|
Object Detection (HP)
|
100% |
380
30.1 IPS |
|
|
Object Detection (Q)
|
86% |
2052
164.9 IPS |
|
|
Face Detection (SP)
|
100% |
1843
21.9 IPS |
|
|
Face Detection (HP)
|
100% |
794
9.43 IPS |
|
|
Face Detection (Q)
|
97% |
4031
48.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2313
17.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1043
8.03 IPS |
|
|
Depth Estimation (Q)
|
78% |
5139
41.0 IPS |
|
|
Style Transfer (SP)
|
100% |
4137
5.32 IPS |
|
|
Style Transfer (HP)
|
100% |
3138
4.03 IPS |
|
|
Style Transfer (Q)
|
98% |
7895
10.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
896
33.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
750
27.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2580
95.5 IPS |
|
|
Text Classification (SP)
|
100% |
950
1.27 KIPS |
|
|
Text Classification (HP)
|
100% |
517
690.3 IPS |
|
|
Text Classification (Q)
|
97% |
1121
1.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
1165
20.1 IPS |
|
|
Machine Translation (HP)
|
100% |
413
7.12 IPS |
|
|
Machine Translation (Q)
|
65% |
1520
30.5 IPS |
