Lunar OpenVINO NPU LENOVO 21NVS0HS01
Geekbench AI Score
2738
Single Precision Score
23361
Half Precision Score
35299
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | zokkoz |
| Upload Date | September 11 2025 01:35 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | LENOVO 21NVS0HS01 |
| Motherboard | LENOVO 21NVS0HS01 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 268V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1880
349.5 IPS |
|
|
Image Classification (HP)
|
100% |
11891
2.21 KIPS |
|
|
Image Classification (Q)
|
100% |
16217
3.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2103
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
16468
267.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
32521
527.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3162
3.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
104901
122.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
206836
242.3 IPS |
|
|
Object Detection (SP)
|
100% |
1684
133.5 IPS |
|
|
Object Detection (HP)
|
100% |
16126
1.28 KIPS |
|
|
Object Detection (Q)
|
87% |
22577
1.81 KIPS |
|
|
Face Detection (SP)
|
100% |
4868
57.8 IPS |
|
|
Face Detection (HP)
|
100% |
30796
365.9 IPS |
|
|
Face Detection (Q)
|
100% |
68867
818.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4213
32.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
69264
533.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
110460
859.6 IPS |
|
|
Style Transfer (SP)
|
100% |
9469
12.2 IPS |
|
|
Style Transfer (HP)
|
100% |
209142
268.9 IPS |
|
|
Style Transfer (Q)
|
98% |
313125
403.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1191
44.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32681
1.21 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
53955
2.00 KIPS |
|
|
Text Classification (SP)
|
100% |
1642
2.19 KIPS |
|
|
Text Classification (HP)
|
100% |
2592
3.46 KIPS |
|
|
Text Classification (Q)
|
92% |
2273
3.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
2962
51.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3868
66.6 IPS |
|
|
Machine Translation (Q)
|
100% |
4175
71.9 IPS |
