LENOVO 83JE
Geekbench AI Score
15877
Single Precision Score
30122
Half Precision Score
12716
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 16 2025 06:00 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 83JE |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Zrwnowaony |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13650HX |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5810
1.08 KIPS |
|
|
Image Classification (HP)
|
100% |
11939
2.22 KIPS |
|
|
Image Classification (Q)
|
99% |
5533
1.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11113
180.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
14833
240.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
9963
162.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
81511
95.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
246403
287.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
73446
86.0 IPS |
|
|
Object Detection (SP)
|
100% |
7327
581.2 IPS |
|
|
Object Detection (HP)
|
100% |
16497
1.31 KIPS |
|
|
Object Detection (Q)
|
87% |
7926
636.0 IPS |
|
|
Face Detection (SP)
|
100% |
21231
252.3 IPS |
|
|
Face Detection (HP)
|
100% |
33214
394.7 IPS |
|
|
Face Detection (Q)
|
97% |
18788
224.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
39984
308.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
86976
670.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
32956
263.5 IPS |
|
|
Style Transfer (SP)
|
100% |
127670
164.1 IPS |
|
|
Style Transfer (HP)
|
100% |
396069
509.2 IPS |
|
|
Style Transfer (Q)
|
98% |
109863
141.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
20689
763.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45639
1.69 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
16688
617.9 IPS |
|
|
Text Classification (SP)
|
100% |
2992
3.99 KIPS |
|
|
Text Classification (HP)
|
100% |
3720
4.97 KIPS |
|
|
Text Classification (Q)
|
97% |
1844
2.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
3936
67.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4398
75.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1646
30.9 IPS |
