LENOVO 83ER
Geekbench AI Score
1154
Single Precision Score
518
Half Precision Score
2778
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | JAAlosaime |
| Upload Date | October 19 2025 04:21 AM |
| Views | 16 |
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% |
1415
263.1 IPS |
|
|
Image Classification (HP)
|
100% |
381
70.9 IPS |
|
|
Image Classification (Q)
|
99% |
2398
447.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
498
8.07 IPS |
|
|
Image Segmentation (HP)
|
100% |
336
5.44 IPS |
|
|
Image Segmentation (Q)
|
98% |
3102
50.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1089
1.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
861
1.01 IPS |
|
|
Pose Estimation (Q)
|
94% |
4651
5.45 IPS |
|
|
Object Detection (SP)
|
100% |
766
60.7 IPS |
|
|
Object Detection (HP)
|
100% |
230
18.2 IPS |
|
|
Object Detection (Q)
|
86% |
2498
200.7 IPS |
|
|
Face Detection (SP)
|
100% |
2883
34.3 IPS |
|
|
Face Detection (HP)
|
100% |
602
7.16 IPS |
|
|
Face Detection (Q)
|
97% |
3741
44.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1774
13.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
699
5.39 IPS |
|
|
Depth Estimation (Q)
|
78% |
5991
47.8 IPS |
|
|
Style Transfer (SP)
|
100% |
3672
4.72 IPS |
|
|
Style Transfer (HP)
|
100% |
2437
3.13 IPS |
|
|
Style Transfer (Q)
|
98% |
7388
9.53 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
718
26.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
485
17.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1975
73.1 IPS |
|
|
Text Classification (SP)
|
100% |
866
1.16 KIPS |
|
|
Text Classification (HP)
|
100% |
391
522.2 IPS |
|
|
Text Classification (Q)
|
97% |
844
1.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
612
10.6 IPS |
|
|
Machine Translation (HP)
|
100% |
285
4.90 IPS |
|
|
Machine Translation (Q)
|
65% |
1151
23.1 IPS |
