LENOVO 21NTS1V000
Geekbench AI Score
3108
Single Precision Score
23289
Half Precision Score
37519
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 23 2025 04:49 PM |
| Views | 2 |
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 21NTS1V000 |
| Motherboard | LENOVO 21NTS1V000 |
| 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% |
1790
332.9 IPS |
|
|
Image Classification (HP)
|
100% |
12072
2.24 KIPS |
|
|
Image Classification (Q)
|
100% |
17328
3.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2450
39.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
19307
313.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
30905
501.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3292
3.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
110063
128.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
226520
265.3 IPS |
|
|
Object Detection (SP)
|
100% |
1801
142.8 IPS |
|
|
Object Detection (HP)
|
100% |
16148
1.28 KIPS |
|
|
Object Detection (Q)
|
87% |
23333
1.87 KIPS |
|
|
Face Detection (SP)
|
100% |
5235
62.2 IPS |
|
|
Face Detection (HP)
|
100% |
39005
463.5 IPS |
|
|
Face Detection (Q)
|
100% |
80054
951.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4296
33.1 IPS |
|
|
Depth Estimation (HP)
|
93% |
63696
493.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
135420
1.05 KIPS |
|
|
Style Transfer (SP)
|
100% |
9356
12.0 IPS |
|
|
Style Transfer (HP)
|
100% |
160175
205.9 IPS |
|
|
Style Transfer (Q)
|
98% |
301071
388.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2113
78.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28270
1.04 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
57527
2.13 KIPS |
|
|
Text Classification (SP)
|
100% |
2191
2.92 KIPS |
|
|
Text Classification (HP)
|
100% |
2567
3.43 KIPS |
|
|
Text Classification (Q)
|
92% |
2702
3.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
3331
57.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3924
67.6 IPS |
|
|
Machine Translation (Q)
|
100% |
3850
66.3 IPS |
