LENOVO 82TD
Geekbench AI Score
18415
Single Precision Score
29828
Half Precision Score
11425
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | ysy |
| Upload Date | April 09 2025 12:33 PM |
| Views | 4 |
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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6797
1.26 KIPS |
|
|
Image Classification (HP)
|
99% |
10927
2.04 KIPS |
|
|
Image Classification (Q)
|
100% |
4915
914.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
12754
206.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
20808
337.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
9959
161.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
106173
123.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
261168
304.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
82268
96.4 IPS |
|
|
Object Detection (SP)
|
100% |
8559
678.9 IPS |
|
|
Object Detection (HP)
|
100% |
14496
1.15 KIPS |
|
|
Object Detection (Q)
|
85% |
6439
518.4 IPS |
|
|
Face Detection (SP)
|
100% |
22448
266.7 IPS |
|
|
Face Detection (HP)
|
100% |
37084
440.6 IPS |
|
|
Face Detection (Q)
|
97% |
16319
194.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
45803
352.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
79064
609.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
28330
226.9 IPS |
|
|
Style Transfer (SP)
|
100% |
184129
236.7 IPS |
|
|
Style Transfer (HP)
|
100% |
420306
540.3 IPS |
|
|
Style Transfer (Q)
|
98% |
124812
160.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26418
975.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34680
1.28 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
15194
562.6 IPS |
|
|
Text Classification (SP)
|
100% |
2863
3.82 KIPS |
|
|
Text Classification (HP)
|
99% |
3666
4.89 KIPS |
|
|
Text Classification (Q)
|
97% |
1201
1.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
3976
68.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4135
71.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1388
26.0 IPS |
