LENOVO 83JE
Geekbench AI Score
2674
Single Precision Score
748
Half Precision Score
3956
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | June 29 2025 01:35 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-13450HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | LENOVO 83JE |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13450HX |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 191 Stepping 2 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 12.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1727
321.3 IPS |
|
|
Image Classification (HP)
|
100% |
153
28.5 IPS |
|
|
Image Classification (Q)
|
99% |
3210
598.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1385
22.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
254
4.11 IPS |
|
|
Image Segmentation (Q)
|
98% |
2710
44.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5175
6.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
3574
4.17 IPS |
|
|
Pose Estimation (Q)
|
95% |
17464
20.5 IPS |
|
|
Object Detection (SP)
|
100% |
1753
139.0 IPS |
|
|
Object Detection (HP)
|
100% |
212
16.8 IPS |
|
|
Object Detection (Q)
|
88% |
1760
141.0 IPS |
|
|
Face Detection (SP)
|
100% |
2134
25.4 IPS |
|
|
Face Detection (HP)
|
100% |
289
3.44 IPS |
|
|
Face Detection (Q)
|
97% |
3158
37.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5510
42.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
941
7.25 IPS |
|
|
Depth Estimation (Q)
|
76% |
6166
49.7 IPS |
|
|
Style Transfer (SP)
|
100% |
11913
15.3 IPS |
|
|
Style Transfer (HP)
|
100% |
9099
11.7 IPS |
|
|
Style Transfer (Q)
|
98% |
13917
17.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2294
84.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1704
62.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3826
141.7 IPS |
|
|
Text Classification (SP)
|
100% |
1576
2.10 KIPS |
|
|
Text Classification (HP)
|
100% |
698
932.3 IPS |
|
|
Text Classification (Q)
|
97% |
1623
2.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
1702
29.3 IPS |
|
|
Machine Translation (HP)
|
100% |
634
10.9 IPS |
|
|
Machine Translation (Q)
|
60% |
2088
46.6 IPS |
