LENOVO 82WQ
Geekbench AI Score
2712
Single Precision Score
2742
Half Precision Score
12314
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 18 2025 07:35 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) 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% |
2869
533.5 IPS |
|
|
Image Classification (HP)
|
100% |
3050
567.3 IPS |
|
|
Image Classification (Q)
|
100% |
8764
1.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1500
24.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1401
22.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
9192
149.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3965
4.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
3976
4.64 IPS |
|
|
Pose Estimation (Q)
|
96% |
23068
27.0 IPS |
|
|
Object Detection (SP)
|
100% |
618
49.0 IPS |
|
|
Object Detection (HP)
|
100% |
631
50.0 IPS |
|
|
Object Detection (Q)
|
88% |
8667
694.8 IPS |
|
|
Face Detection (SP)
|
100% |
2133
25.3 IPS |
|
|
Face Detection (HP)
|
100% |
2653
31.5 IPS |
|
|
Face Detection (Q)
|
100% |
18469
219.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2062
15.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2195
16.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
24860
193.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21587
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
21464
27.6 IPS |
|
|
Style Transfer (Q)
|
98% |
76716
98.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4030
148.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4090
151.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15033
556.7 IPS |
|
|
Text Classification (SP)
|
100% |
2399
3.20 KIPS |
|
|
Text Classification (HP)
|
100% |
2471
3.30 KIPS |
|
|
Text Classification (Q)
|
92% |
5009
6.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
2228
38.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1778
30.6 IPS |
|
|
Machine Translation (Q)
|
100% |
1877
32.3 IPS |
