LENOVO 82WQ
Geekbench AI Score
26188
Single Precision Score
40764
Half Precision Score
19895
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 18 2025 07:32 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4080 Laptop GPU |
| 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% |
10064
1.87 KIPS |
|
|
Image Classification (HP)
|
99% |
16129
3.01 KIPS |
|
|
Image Classification (Q)
|
100% |
8818
1.64 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19871
322.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
26675
432.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
17716
288.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
156001
182.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
401576
468.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
139738
163.7 IPS |
|
|
Object Detection (SP)
|
100% |
12721
1.01 KIPS |
|
|
Object Detection (HP)
|
100% |
19833
1.57 KIPS |
|
|
Object Detection (Q)
|
85% |
10710
862.2 IPS |
|
|
Face Detection (SP)
|
100% |
37244
442.5 IPS |
|
|
Face Detection (HP)
|
100% |
51394
610.7 IPS |
|
|
Face Detection (Q)
|
97% |
32327
385.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
63850
491.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
104317
805.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
48672
389.1 IPS |
|
|
Style Transfer (SP)
|
100% |
258009
331.7 IPS |
|
|
Style Transfer (HP)
|
100% |
632058
812.5 IPS |
|
|
Style Transfer (Q)
|
98% |
232964
300.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
36317
1.34 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
51600
1.91 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27651
1.02 KIPS |
|
|
Text Classification (SP)
|
100% |
3313
4.42 KIPS |
|
|
Text Classification (HP)
|
99% |
4097
5.47 KIPS |
|
|
Text Classification (Q)
|
97% |
1733
2.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
5179
89.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5162
88.9 IPS |
|
|
Machine Translation (Q)
|
70% |
2366
44.4 IPS |
