LENOVO 83JE
Geekbench AI Score
12648
Single Precision Score
24559
Half Precision Score
10248
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | June 29 2025 01:38 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 Laptop GPU |
| 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% |
5579
1.04 KIPS |
|
|
Image Classification (HP)
|
100% |
10117
1.88 KIPS |
|
|
Image Classification (Q)
|
100% |
4861
903.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
7948
128.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
12233
198.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
8672
141.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
75643
88.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
209213
244.1 IPS |
|
|
Pose Estimation (Q)
|
94% |
66933
78.5 IPS |
|
|
Object Detection (SP)
|
100% |
5599
444.1 IPS |
|
|
Object Detection (HP)
|
100% |
11272
894.1 IPS |
|
|
Object Detection (Q)
|
89% |
5825
466.6 IPS |
|
|
Face Detection (SP)
|
100% |
13934
165.6 IPS |
|
|
Face Detection (HP)
|
100% |
20971
249.2 IPS |
|
|
Face Detection (Q)
|
97% |
12586
150.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
36101
278.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
80635
621.2 IPS |
|
|
Depth Estimation (Q)
|
72% |
29459
244.1 IPS |
|
|
Style Transfer (SP)
|
100% |
118144
151.9 IPS |
|
|
Style Transfer (HP)
|
100% |
374182
481.0 IPS |
|
|
Style Transfer (Q)
|
98% |
103586
133.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17943
662.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45689
1.69 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
14825
549.0 IPS |
|
|
Text Classification (SP)
|
100% |
2634
3.52 KIPS |
|
|
Text Classification (HP)
|
100% |
3525
4.71 KIPS |
|
|
Text Classification (Q)
|
97% |
1416
1.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
1987
34.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2684
46.2 IPS |
|
|
Machine Translation (Q)
|
60% |
965
21.5 IPS |
