LENOVO 83LY
Geekbench AI Score
2945
Single Precision Score
1120
Half Precision Score
5329
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | cas1 |
| Upload Date | September 02 2025 01:44 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-13650HX |
| 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% |
2372
441.1 IPS |
|
|
Image Classification (HP)
|
100% |
409
76.1 IPS |
|
|
Image Classification (Q)
|
99% |
3881
723.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1124
18.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
629
10.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
6343
103.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5063
5.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
3453
4.03 IPS |
|
|
Pose Estimation (Q)
|
94% |
16165
19.0 IPS |
|
|
Object Detection (SP)
|
100% |
2292
181.8 IPS |
|
|
Object Detection (HP)
|
100% |
509
40.4 IPS |
|
|
Object Detection (Q)
|
86% |
4477
359.8 IPS |
|
|
Face Detection (SP)
|
100% |
6308
75.0 IPS |
|
|
Face Detection (HP)
|
100% |
1166
13.9 IPS |
|
|
Face Detection (Q)
|
97% |
6613
78.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6429
49.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1564
12.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
11022
87.9 IPS |
|
|
Style Transfer (SP)
|
100% |
11932
15.3 IPS |
|
|
Style Transfer (HP)
|
100% |
8113
10.4 IPS |
|
|
Style Transfer (Q)
|
98% |
18187
23.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2038
75.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1522
56.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3465
128.3 IPS |
|
|
Text Classification (SP)
|
100% |
1187
1.58 KIPS |
|
|
Text Classification (HP)
|
100% |
552
736.9 IPS |
|
|
Text Classification (Q)
|
97% |
1075
1.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
1357
23.4 IPS |
|
|
Machine Translation (HP)
|
100% |
556
9.58 IPS |
|
|
Machine Translation (Q)
|
65% |
2103
42.3 IPS |
