LENOVO 82TD
Geekbench AI Score
4174
Single Precision Score
1486
Half Precision Score
6660
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | ysy |
| Upload Date | February 02 2025 12:41 PM |
| Views | 4 |
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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3275
609.0 IPS |
|
|
Image Classification (HP)
|
100% |
546
101.6 IPS |
|
|
Image Classification (Q)
|
99% |
5636
1.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1897
30.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
918
14.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
3085
50.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7213
8.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
4028
4.70 IPS |
|
|
Pose Estimation (Q)
|
94% |
25909
30.4 IPS |
|
|
Object Detection (SP)
|
100% |
3041
241.2 IPS |
|
|
Object Detection (HP)
|
100% |
695
55.1 IPS |
|
|
Object Detection (Q)
|
86% |
5712
459.1 IPS |
|
|
Face Detection (SP)
|
100% |
8106
96.3 IPS |
|
|
Face Detection (HP)
|
100% |
1673
19.9 IPS |
|
|
Face Detection (Q)
|
97% |
8963
106.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
9251
71.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2061
15.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
14726
117.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17302
22.2 IPS |
|
|
Style Transfer (HP)
|
100% |
10133
13.0 IPS |
|
|
Style Transfer (Q)
|
98% |
23191
29.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2988
110.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1913
70.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4275
158.3 IPS |
|
|
Text Classification (SP)
|
100% |
1547
2.06 KIPS |
|
|
Text Classification (HP)
|
100% |
736
981.9 IPS |
|
|
Text Classification (Q)
|
97% |
1643
2.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
1967
33.9 IPS |
|
|
Machine Translation (HP)
|
100% |
761
13.1 IPS |
|
|
Machine Translation (Q)
|
65% |
3105
62.4 IPS |
