LENOVO 21LUCTO1WW
Geekbench AI Score
2296
Single Precision Score
2281
Half Precision Score
5365
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 28 2024 08:18 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 155H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 21LUCTO1WW |
| Motherboard | LENOVO 21LUCTO1WW |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 155H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1346
250.3 IPS |
|
|
Image Classification (HP)
|
100% |
1350
251.1 IPS |
|
|
Image Classification (Q)
|
100% |
3743
696.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1987
32.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2039
33.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3902
63.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3515
4.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
2962
3.46 IPS |
|
|
Pose Estimation (Q)
|
96% |
8838
10.4 IPS |
|
|
Object Detection (SP)
|
100% |
1393
110.5 IPS |
|
|
Object Detection (HP)
|
100% |
1389
110.2 IPS |
|
|
Object Detection (Q)
|
88% |
3522
282.4 IPS |
|
|
Face Detection (SP)
|
100% |
3630
43.1 IPS |
|
|
Face Detection (HP)
|
100% |
3649
43.4 IPS |
|
|
Face Detection (Q)
|
100% |
6843
81.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3999
30.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
4015
30.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
10219
79.5 IPS |
|
|
Style Transfer (SP)
|
100% |
7000
9.00 IPS |
|
|
Style Transfer (HP)
|
100% |
6824
8.77 IPS |
|
|
Style Transfer (Q)
|
98% |
21611
27.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1419
52.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1482
54.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6312
233.8 IPS |
|
|
Text Classification (SP)
|
100% |
1424
1.90 KIPS |
|
|
Text Classification (HP)
|
100% |
1402
1.87 KIPS |
|
|
Text Classification (Q)
|
92% |
2777
3.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
1517
26.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1623
28.0 IPS |
|
|
Machine Translation (Q)
|
100% |
1642
28.3 IPS |
