LENOVO 21TU
Geekbench AI Score
4105
Single Precision Score
1725
Half Precision Score
6978
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | khdhmnyu |
| Upload Date | April 04 2025 09:08 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 225H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | LENOVO 21TU |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 225H |
| Topology | 1 Processor, 14 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3049
567.0 IPS |
|
|
Image Classification (HP)
|
100% |
646
120.2 IPS |
|
|
Image Classification (Q)
|
99% |
7074
1.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2071
33.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
912
14.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
3359
54.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6622
7.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
5128
5.98 IPS |
|
|
Pose Estimation (Q)
|
94% |
22685
26.6 IPS |
|
|
Object Detection (SP)
|
100% |
2884
228.7 IPS |
|
|
Object Detection (HP)
|
100% |
701
55.6 IPS |
|
|
Object Detection (Q)
|
86% |
6519
523.9 IPS |
|
|
Face Detection (SP)
|
100% |
7746
92.0 IPS |
|
|
Face Detection (HP)
|
100% |
1940
23.1 IPS |
|
|
Face Detection (Q)
|
97% |
9868
117.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8689
66.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2649
20.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
15486
123.6 IPS |
|
|
Style Transfer (SP)
|
100% |
15726
20.2 IPS |
|
|
Style Transfer (HP)
|
100% |
12657
16.3 IPS |
|
|
Style Transfer (Q)
|
98% |
21967
28.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2578
95.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2354
86.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4652
172.3 IPS |
|
|
Text Classification (SP)
|
100% |
1718
2.29 KIPS |
|
|
Text Classification (HP)
|
100% |
792
1.06 KIPS |
|
|
Text Classification (Q)
|
97% |
1724
2.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
2405
41.4 IPS |
|
|
Machine Translation (HP)
|
100% |
909
15.7 IPS |
|
|
Machine Translation (Q)
|
65% |
2895
58.2 IPS |
