LENOVO 82TD
Geekbench AI Score
16897
Single Precision Score
26686
Half Precision Score
10344
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | ysy |
| Upload Date | February 02 2025 12:47 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3080 Ti Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 82TD |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Wysoka wydajno |
| CPU Information | |
|---|---|
| Name | Intel Core i9-12900HX |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6542
1.22 KIPS |
|
|
Image Classification (HP)
|
99% |
10736
2.00 KIPS |
|
|
Image Classification (Q)
|
100% |
4581
852.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
10604
171.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
15885
257.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
8546
139.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
106097
123.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
237666
277.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
75977
89.0 IPS |
|
|
Object Detection (SP)
|
100% |
8524
676.1 IPS |
|
|
Object Detection (HP)
|
100% |
12189
966.8 IPS |
|
|
Object Detection (Q)
|
85% |
6270
504.7 IPS |
|
|
Face Detection (SP)
|
100% |
17981
213.7 IPS |
|
|
Face Detection (HP)
|
100% |
30562
363.1 IPS |
|
|
Face Detection (Q)
|
97% |
13757
164.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
43256
333.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
77976
600.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
28234
226.1 IPS |
|
|
Style Transfer (SP)
|
100% |
176853
227.3 IPS |
|
|
Style Transfer (HP)
|
100% |
385966
496.2 IPS |
|
|
Style Transfer (Q)
|
98% |
109074
140.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
24689
911.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32918
1.22 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
15449
572.1 IPS |
|
|
Text Classification (SP)
|
100% |
2656
3.55 KIPS |
|
|
Text Classification (HP)
|
99% |
3572
4.77 KIPS |
|
|
Text Classification (Q)
|
97% |
1119
1.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
3353
57.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3429
59.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1027
19.3 IPS |
