LENOVO 82TD
Geekbench AI Score
4272
Single Precision Score
1520
Half Precision Score
6966
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | ysy |
| Upload Date | April 09 2025 12:31 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-12900HX |
| 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% |
3307
615.1 IPS |
|
|
Image Classification (HP)
|
100% |
556
103.5 IPS |
|
|
Image Classification (Q)
|
99% |
5671
1.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1786
28.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
958
15.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
3406
55.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7242
8.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
4218
4.92 IPS |
|
|
Pose Estimation (Q)
|
94% |
25699
30.1 IPS |
|
|
Object Detection (SP)
|
100% |
3191
253.1 IPS |
|
|
Object Detection (HP)
|
100% |
709
56.3 IPS |
|
|
Object Detection (Q)
|
86% |
6291
505.6 IPS |
|
|
Face Detection (SP)
|
100% |
8822
104.8 IPS |
|
|
Face Detection (HP)
|
100% |
1649
19.6 IPS |
|
|
Face Detection (Q)
|
97% |
9621
114.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
9298
71.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2102
16.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
14894
118.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17719
22.8 IPS |
|
|
Style Transfer (HP)
|
100% |
10834
13.9 IPS |
|
|
Style Transfer (Q)
|
98% |
25220
32.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2996
110.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1922
71.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4458
165.1 IPS |
|
|
Text Classification (SP)
|
100% |
1554
2.07 KIPS |
|
|
Text Classification (HP)
|
100% |
707
943.4 IPS |
|
|
Text Classification (Q)
|
97% |
1582
2.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
2195
37.8 IPS |
|
|
Machine Translation (HP)
|
100% |
815
14.0 IPS |
|
|
Machine Translation (Q)
|
65% |
3384
68.0 IPS |
