LENOVO 83LY
Geekbench AI Score
14307
Single Precision Score
27067
Half Precision Score
11412
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | cas1 |
| Upload Date | September 02 2025 01:59 PM |
| Views | 12 |
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 83LY |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5428
1.01 KIPS |
|
|
Image Classification (HP)
|
100% |
11663
2.17 KIPS |
|
|
Image Classification (Q)
|
99% |
5770
1.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10759
174.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
17843
289.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
9705
157.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
68560
80.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
218445
254.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
66926
78.4 IPS |
|
|
Object Detection (SP)
|
100% |
7366
584.3 IPS |
|
|
Object Detection (HP)
|
100% |
15427
1.22 KIPS |
|
|
Object Detection (Q)
|
87% |
6403
513.8 IPS |
|
|
Face Detection (SP)
|
100% |
18554
220.5 IPS |
|
|
Face Detection (HP)
|
100% |
26597
316.0 IPS |
|
|
Face Detection (Q)
|
97% |
15748
187.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
35425
272.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
65552
505.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
28213
225.6 IPS |
|
|
Style Transfer (SP)
|
100% |
107083
137.7 IPS |
|
|
Style Transfer (HP)
|
100% |
391268
503.0 IPS |
|
|
Style Transfer (Q)
|
98% |
98535
127.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
19686
726.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40298
1.49 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
17397
644.2 IPS |
|
|
Text Classification (SP)
|
100% |
2483
3.31 KIPS |
|
|
Text Classification (HP)
|
100% |
2996
4.00 KIPS |
|
|
Text Classification (Q)
|
97% |
1436
1.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
3543
61.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3655
63.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1428
26.8 IPS |
