LENOVO 82WQ
Geekbench AI Score
2082
Single Precision Score
3062
Half Precision Score
4743
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 18 2025 07:40 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) RaptorLake-S Mobile Graphics Controller (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 82WQ |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Legion Performance Mode |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900HX |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1264
235.1 IPS |
|
|
Image Classification (HP)
|
100% |
2112
392.8 IPS |
|
|
Image Classification (Q)
|
99% |
3094
577.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1873
30.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3045
49.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3532
57.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3292
3.84 IPS |
|
|
Pose Estimation (HP)
|
99% |
2396
2.80 IPS |
|
|
Pose Estimation (Q)
|
97% |
9754
11.4 IPS |
|
|
Object Detection (SP)
|
100% |
1136
90.1 IPS |
|
|
Object Detection (HP)
|
98% |
1861
148.1 IPS |
|
|
Object Detection (Q)
|
90% |
3480
278.3 IPS |
|
|
Face Detection (SP)
|
100% |
4018
47.7 IPS |
|
|
Face Detection (HP)
|
100% |
6123
72.8 IPS |
|
|
Face Detection (Q)
|
100% |
8418
100.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3893
30.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
6633
51.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
9010
70.1 IPS |
|
|
Style Transfer (SP)
|
100% |
8534
11.0 IPS |
|
|
Style Transfer (HP)
|
100% |
14919
19.2 IPS |
|
|
Style Transfer (Q)
|
98% |
22611
29.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1541
56.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2517
93.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5145
190.6 IPS |
|
|
Text Classification (SP)
|
71% |
914
1.32 KIPS |
|
|
Text Classification (HP)
|
71% |
1126
1.63 KIPS |
|
|
Text Classification (Q)
|
92% |
1176
1.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
921
15.9 IPS |
|
|
Machine Translation (HP)
|
98% |
1476
25.5 IPS |
|
|
Machine Translation (Q)
|
100% |
1497
25.8 IPS |
