LENOVO 82WQ
Geekbench AI Score
24721
Single Precision Score
36797
Half Precision Score
19331
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Thayerhealey3 |
| Upload Date | February 28 2025 08:39 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 82WQ |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9484
1.76 KIPS |
|
|
Image Classification (HP)
|
99% |
14119
2.63 KIPS |
|
|
Image Classification (Q)
|
100% |
8058
1.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14177
229.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
18664
302.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
14001
227.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
186877
218.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
396215
462.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
172233
201.8 IPS |
|
|
Object Detection (SP)
|
100% |
12160
964.6 IPS |
|
|
Object Detection (HP)
|
100% |
16274
1.29 KIPS |
|
|
Object Detection (Q)
|
85% |
10419
838.2 IPS |
|
|
Face Detection (SP)
|
100% |
32477
385.9 IPS |
|
|
Face Detection (HP)
|
100% |
40941
486.5 IPS |
|
|
Face Detection (Q)
|
97% |
28520
340.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
62774
483.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
117371
906.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
47329
378.0 IPS |
|
|
Style Transfer (SP)
|
100% |
301712
387.9 IPS |
|
|
Style Transfer (HP)
|
100% |
676810
870.0 IPS |
|
|
Style Transfer (Q)
|
98% |
264592
341.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
41057
1.52 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
57048
2.11 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
31204
1.16 KIPS |
|
|
Text Classification (SP)
|
100% |
2978
3.97 KIPS |
|
|
Text Classification (HP)
|
99% |
3726
4.97 KIPS |
|
|
Text Classification (Q)
|
97% |
1621
2.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
3711
63.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3875
66.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1993
37.4 IPS |
