LENOVO 82WQ
Geekbench AI Score
23051
Single Precision Score
36387
Half Precision Score
17885
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | obuxim |
| Upload Date | December 06 2024 05:55 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4080 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 82WQ |
| Motherboard | LENOVO LNVNB161216 |
| 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% |
10154
1.89 KIPS |
|
|
Image Classification (HP)
|
99% |
16071
3.00 KIPS |
|
|
Image Classification (Q)
|
100% |
8166
1.52 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14583
236.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
18897
306.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
13851
225.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
124076
144.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
320519
374.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
112290
131.6 IPS |
|
|
Object Detection (SP)
|
100% |
10706
849.2 IPS |
|
|
Object Detection (HP)
|
100% |
18556
1.47 KIPS |
|
|
Object Detection (Q)
|
85% |
9925
799.0 IPS |
|
|
Face Detection (SP)
|
100% |
29099
345.8 IPS |
|
|
Face Detection (HP)
|
100% |
44005
522.9 IPS |
|
|
Face Detection (Q)
|
97% |
27481
327.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
53699
413.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
100926
779.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
41140
330.0 IPS |
|
|
Style Transfer (SP)
|
100% |
247470
318.1 IPS |
|
|
Style Transfer (HP)
|
100% |
587382
755.1 IPS |
|
|
Style Transfer (Q)
|
98% |
236533
305.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
40552
1.50 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
50685
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28643
1.06 KIPS |
|
|
Text Classification (SP)
|
100% |
3334
4.45 KIPS |
|
|
Text Classification (HP)
|
99% |
4264
5.69 KIPS |
|
|
Text Classification (Q)
|
97% |
1884
2.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
4120
71.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3996
68.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1841
34.5 IPS |
