LENOVO 21KV0015US
Geekbench AI Score
1080
Single Precision Score
7084
Half Precision Score
11380
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Jack4Maps |
| Upload Date | August 28 2025 01:21 AM |
| Views | 3 |
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 21KV0015US |
| Motherboard | LENOVO 21KV0015US |
| Power Plan | Balanced |
| 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% |
599
111.5 IPS |
|
|
Image Classification (HP)
|
100% |
5119
952.0 IPS |
|
|
Image Classification (Q)
|
100% |
7851
1.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
951
15.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2221
36.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2783
45.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1476
1.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
17091
19.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
53489
62.7 IPS |
|
|
Object Detection (SP)
|
100% |
600
47.6 IPS |
|
|
Object Detection (HP)
|
100% |
4361
345.9 IPS |
|
|
Object Detection (Q)
|
88% |
7317
586.6 IPS |
|
|
Face Detection (SP)
|
100% |
1928
22.9 IPS |
|
|
Face Detection (HP)
|
100% |
13694
162.7 IPS |
|
|
Face Detection (Q)
|
100% |
19183
227.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1532
11.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
16766
129.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
30803
239.7 IPS |
|
|
Style Transfer (SP)
|
100% |
4498
5.78 IPS |
|
|
Style Transfer (HP)
|
100% |
30357
39.0 IPS |
|
|
Style Transfer (Q)
|
98% |
70198
90.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
738
27.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10961
404.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19503
722.3 IPS |
|
|
Text Classification (SP)
|
100% |
547
729.9 IPS |
|
|
Text Classification (HP)
|
100% |
1802
2.41 KIPS |
|
|
Text Classification (Q)
|
92% |
1908
2.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
800
13.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2732
47.1 IPS |
|
|
Machine Translation (Q)
|
100% |
2761
47.6 IPS |
