LENOVO 83ER
Geekbench AI Score
645
Single Precision Score
255
Half Precision Score
1228
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | JAAlosaime |
| Upload Date | October 19 2025 06:48 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-12450H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 83ER |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12450H |
| Topology | 1 Processor, 8 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1566
291.2 IPS |
|
|
Image Classification (HP)
|
100% |
424
78.8 IPS |
|
|
Image Classification (Q)
|
99% |
3272
610.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
973
15.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
660
10.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
4491
73.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3045
3.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
1036
1.21 IPS |
|
|
Pose Estimation (Q)
|
94% |
1102
1.29 IPS |
|
|
Object Detection (SP)
|
100% |
143
11.3 IPS |
|
|
Object Detection (HP)
|
100% |
61
4.82 IPS |
|
|
Object Detection (Q)
|
86% |
1082
86.9 IPS |
|
|
Face Detection (SP)
|
100% |
1287
15.3 IPS |
|
|
Face Detection (HP)
|
100% |
148
1.75 IPS |
|
|
Face Detection (Q)
|
97% |
1575
18.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
520
4.01 IPS |
|
|
Depth Estimation (HP)
|
99% |
196
1.51 IPS |
|
|
Depth Estimation (Q)
|
78% |
1886
15.1 IPS |
|
|
Style Transfer (SP)
|
100% |
1471
1.89 IPS |
|
|
Style Transfer (HP)
|
100% |
957
1.23 IPS |
|
|
Style Transfer (Q)
|
98% |
1922
2.48 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
231
8.52 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
180
6.66 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
623
23.1 IPS |
|
|
Text Classification (SP)
|
100% |
408
544.0 IPS |
|
|
Text Classification (HP)
|
100% |
183
244.0 IPS |
|
|
Text Classification (Q)
|
97% |
392
524.7 IPS |
|
|
Machine Translation (SP)
|
100% |
204
3.52 IPS |
|
|
Machine Translation (HP)
|
100% |
74
1.28 IPS |
|
|
Machine Translation (Q)
|
65% |
320
6.44 IPS |
