LENOVO 83GS
Geekbench AI Score
2425
Single Precision Score
1168
Half Precision Score
4596
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | GadgetVisioi |
| Upload Date | December 20 2024 06:23 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-12450HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 83GS |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Tasapainotettu |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12450HX |
| Topology | 1 Processor, 8 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1797
334.1 IPS |
|
|
Image Classification (HP)
|
100% |
444
82.5 IPS |
|
|
Image Classification (Q)
|
99% |
3628
676.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1031
16.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
730
11.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2490
40.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3692
4.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
2966
3.46 IPS |
|
|
Pose Estimation (Q)
|
94% |
13114
15.4 IPS |
|
|
Object Detection (SP)
|
100% |
1832
145.3 IPS |
|
|
Object Detection (HP)
|
100% |
545
43.2 IPS |
|
|
Object Detection (Q)
|
86% |
3738
300.4 IPS |
|
|
Face Detection (SP)
|
100% |
4304
51.1 IPS |
|
|
Face Detection (HP)
|
100% |
1265
15.0 IPS |
|
|
Face Detection (Q)
|
97% |
6591
78.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4987
38.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1724
13.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
9353
74.6 IPS |
|
|
Style Transfer (SP)
|
100% |
9072
11.7 IPS |
|
|
Style Transfer (HP)
|
100% |
7286
9.37 IPS |
|
|
Style Transfer (Q)
|
98% |
15264
19.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1714
63.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1437
53.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3208
118.8 IPS |
|
|
Text Classification (SP)
|
100% |
1213
1.62 KIPS |
|
|
Text Classification (HP)
|
100% |
620
827.2 IPS |
|
|
Text Classification (Q)
|
97% |
1540
2.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
1389
23.9 IPS |
|
|
Machine Translation (HP)
|
100% |
640
11.0 IPS |
|
|
Machine Translation (Q)
|
65% |
2046
41.1 IPS |
