LENOVO 21L4S1PV00
Geekbench AI Score
2342
Single Precision Score
8128
Half Precision Score
12968
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | hisyho |
| Upload Date | July 25 2025 01:16 AM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21L4S1PV00 |
| Motherboard | LENOVO 21L4S1PV00 |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 165U |
| Topology | 1 Processor, 12 Cores, 14 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1337
248.6 IPS |
|
|
Image Classification (HP)
|
100% |
5973
1.11 KIPS |
|
|
Image Classification (Q)
|
100% |
8861
1.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1817
29.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2422
39.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3098
50.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2846
3.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
30109
35.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
64604
75.7 IPS |
|
|
Object Detection (SP)
|
100% |
1310
103.9 IPS |
|
|
Object Detection (HP)
|
100% |
4970
394.2 IPS |
|
|
Object Detection (Q)
|
88% |
8590
688.7 IPS |
|
|
Face Detection (SP)
|
100% |
3442
40.9 IPS |
|
|
Face Detection (HP)
|
100% |
13501
160.4 IPS |
|
|
Face Detection (Q)
|
100% |
26963
320.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3750
28.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
12880
99.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
24389
189.8 IPS |
|
|
Style Transfer (SP)
|
100% |
8160
10.5 IPS |
|
|
Style Transfer (HP)
|
100% |
38643
49.7 IPS |
|
|
Style Transfer (Q)
|
98% |
73752
95.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1696
62.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14018
517.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27249
1.01 KIPS |
|
|
Text Classification (SP)
|
100% |
1612
2.15 KIPS |
|
|
Text Classification (HP)
|
100% |
1785
2.38 KIPS |
|
|
Text Classification (Q)
|
92% |
1844
2.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
1909
32.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3459
59.6 IPS |
|
|
Machine Translation (Q)
|
100% |
3625
62.4 IPS |
