LENOVO 82WK
Geekbench AI Score
2158
Single Precision Score
2102
Half Precision Score
4921
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | rolandcfoster |
| Upload Date | October 02 2025 09:43 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i7-13700HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 82WK |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Legion Performance Mode |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700HX |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1203
223.7 IPS |
|
|
Image Classification (HP)
|
100% |
1086
201.9 IPS |
|
|
Image Classification (Q)
|
100% |
3648
678.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1463
23.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1513
24.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2725
44.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2409
2.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
2500
2.92 IPS |
|
|
Pose Estimation (Q)
|
96% |
9177
10.7 IPS |
|
|
Object Detection (SP)
|
100% |
1279
101.5 IPS |
|
|
Object Detection (HP)
|
100% |
1246
98.8 IPS |
|
|
Object Detection (Q)
|
88% |
2776
222.5 IPS |
|
|
Face Detection (SP)
|
100% |
3237
38.5 IPS |
|
|
Face Detection (HP)
|
100% |
3176
37.7 IPS |
|
|
Face Detection (Q)
|
100% |
5738
68.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3324
25.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2993
23.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
7946
61.8 IPS |
|
|
Style Transfer (SP)
|
100% |
7532
9.68 IPS |
|
|
Style Transfer (HP)
|
100% |
7712
9.91 IPS |
|
|
Style Transfer (Q)
|
98% |
25303
32.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1644
60.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1746
64.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5634
208.6 IPS |
|
|
Text Classification (SP)
|
100% |
1618
2.16 KIPS |
|
|
Text Classification (HP)
|
100% |
1511
2.02 KIPS |
|
|
Text Classification (Q)
|
92% |
2898
3.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
1880
32.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1702
29.3 IPS |
|
|
Machine Translation (Q)
|
100% |
1748
30.1 IPS |
