LENOVO 82TD
Geekbench AI Score
1714
Single Precision Score
1741
Half Precision Score
1145
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | ysy |
| Upload Date | April 09 2025 12:39 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics |
| 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% |
735
136.7 IPS |
|
|
Image Classification (HP)
|
100% |
751
139.6 IPS |
|
|
Image Classification (Q)
|
100% |
621
115.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1033
16.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1162
18.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
786
12.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5291
6.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
5780
6.74 IPS |
|
|
Pose Estimation (Q)
|
96% |
3527
4.13 IPS |
|
|
Object Detection (SP)
|
100% |
813
64.5 IPS |
|
|
Object Detection (HP)
|
98% |
696
55.4 IPS |
|
|
Object Detection (Q)
|
86% |
686
55.1 IPS |
|
|
Face Detection (SP)
|
100% |
1678
19.9 IPS |
|
|
Face Detection (HP)
|
100% |
1819
21.6 IPS |
|
|
Face Detection (Q)
|
97% |
1245
14.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3100
23.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
3399
26.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
2288
18.3 IPS |
|
|
Style Transfer (SP)
|
100% |
10805
13.9 IPS |
|
|
Style Transfer (HP)
|
100% |
14561
18.7 IPS |
|
|
Style Transfer (Q)
|
98% |
8009
10.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1833
67.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2542
93.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
934
34.6 IPS |
|
|
Text Classification (SP)
|
100% |
863
1.15 KIPS |
|
|
Text Classification (HP)
|
100% |
441
588.7 IPS |
|
|
Text Classification (Q)
|
97% |
396
530.5 IPS |
|
|
Machine Translation (SP)
|
100% |
755
13.0 IPS |
|
|
Machine Translation (HP)
|
100% |
726
12.5 IPS |
|
|
Machine Translation (Q)
|
70% |
392
7.36 IPS |
