LENOVO 83LK
Geekbench AI Score
1835
Single Precision Score
735
Half Precision Score
3442
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | JSALshreef |
| Upload Date | October 17 2025 11:29 PM |
| Views | 20 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | 12th Gen Intel(R) Core(TM) i7-12650HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 83LK |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | 12th Gen Intel(R) Core(TM) i7-12650HX |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1451
269.8 IPS |
|
|
Image Classification (HP)
|
100% |
261
48.6 IPS |
|
|
Image Classification (Q)
|
99% |
2732
509.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
828
13.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
457
7.40 IPS |
|
|
Image Segmentation (Q)
|
98% |
4112
66.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3145
3.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
2052
2.39 IPS |
|
|
Pose Estimation (Q)
|
94% |
10142
11.9 IPS |
|
|
Object Detection (SP)
|
100% |
1411
111.9 IPS |
|
|
Object Detection (HP)
|
100% |
335
26.6 IPS |
|
|
Object Detection (Q)
|
86% |
2873
230.9 IPS |
|
|
Face Detection (SP)
|
100% |
3552
42.2 IPS |
|
|
Face Detection (HP)
|
100% |
809
9.62 IPS |
|
|
Face Detection (Q)
|
97% |
4221
50.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3868
29.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1041
8.02 IPS |
|
|
Depth Estimation (Q)
|
78% |
6225
49.7 IPS |
|
|
Style Transfer (SP)
|
100% |
7087
9.11 IPS |
|
|
Style Transfer (HP)
|
100% |
4921
6.33 IPS |
|
|
Style Transfer (Q)
|
98% |
11244
14.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1298
47.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
936
34.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2434
90.1 IPS |
|
|
Text Classification (SP)
|
100% |
670
894.7 IPS |
|
|
Text Classification (HP)
|
100% |
341
455.1 IPS |
|
|
Text Classification (Q)
|
97% |
720
964.6 IPS |
|
|
Machine Translation (SP)
|
100% |
963
16.6 IPS |
|
|
Machine Translation (HP)
|
100% |
427
7.36 IPS |
|
|
Machine Translation (Q)
|
65% |
1381
27.8 IPS |
