LENOVO 82WQ
Geekbench AI Score
4734
Single Precision Score
1388
Half Precision Score
7198
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 18 2025 07:29 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-13900HX |
| 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% |
3671
682.7 IPS |
|
|
Image Classification (HP)
|
100% |
473
87.9 IPS |
|
|
Image Classification (Q)
|
99% |
5920
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2002
32.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
860
13.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
3600
58.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9852
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
4184
4.88 IPS |
|
|
Pose Estimation (Q)
|
94% |
29257
34.3 IPS |
|
|
Object Detection (SP)
|
100% |
3684
292.2 IPS |
|
|
Object Detection (HP)
|
100% |
605
48.0 IPS |
|
|
Object Detection (Q)
|
86% |
6626
532.5 IPS |
|
|
Face Detection (SP)
|
100% |
10409
123.7 IPS |
|
|
Face Detection (HP)
|
100% |
1556
18.5 IPS |
|
|
Face Detection (Q)
|
97% |
9783
116.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
10797
83.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1882
14.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
16206
129.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21245
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
10364
13.3 IPS |
|
|
Style Transfer (Q)
|
98% |
26136
33.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3238
119.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1896
70.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4476
165.7 IPS |
|
|
Text Classification (SP)
|
100% |
1456
1.94 KIPS |
|
|
Text Classification (HP)
|
100% |
615
820.8 IPS |
|
|
Text Classification (Q)
|
97% |
1487
1.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
1883
32.4 IPS |
|
|
Machine Translation (HP)
|
100% |
730
12.6 IPS |
|
|
Machine Translation (Q)
|
65% |
3280
65.9 IPS |
