LENOVO 82TD
Geekbench AI Score
1674
Single Precision Score
1732
Half Precision Score
1139
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | ysy |
| Upload Date | April 06 2025 10:57 AM |
| Views | 10 |
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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
738
137.3 IPS |
|
|
Image Classification (HP)
|
100% |
754
140.3 IPS |
|
|
Image Classification (Q)
|
100% |
623
115.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1029
16.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1158
18.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
784
12.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5273
6.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
5768
6.73 IPS |
|
|
Pose Estimation (Q)
|
96% |
3522
4.13 IPS |
|
|
Object Detection (SP)
|
100% |
814
64.6 IPS |
|
|
Object Detection (HP)
|
98% |
687
54.7 IPS |
|
|
Object Detection (Q)
|
86% |
684
55.0 IPS |
|
|
Face Detection (SP)
|
100% |
1667
19.8 IPS |
|
|
Face Detection (HP)
|
100% |
1806
21.5 IPS |
|
|
Face Detection (Q)
|
97% |
1239
14.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3088
23.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
3386
26.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
2283
18.3 IPS |
|
|
Style Transfer (SP)
|
100% |
10793
13.9 IPS |
|
|
Style Transfer (HP)
|
100% |
14584
18.7 IPS |
|
|
Style Transfer (Q)
|
98% |
8002
10.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1822
67.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2518
93.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
931
34.5 IPS |
|
|
Text Classification (SP)
|
100% |
706
942.0 IPS |
|
|
Text Classification (HP)
|
100% |
435
580.0 IPS |
|
|
Text Classification (Q)
|
97% |
382
512.3 IPS |
|
|
Machine Translation (SP)
|
100% |
743
12.8 IPS |
|
|
Machine Translation (HP)
|
100% |
720
12.4 IPS |
|
|
Machine Translation (Q)
|
70% |
388
7.28 IPS |
