LENOVO 21NU001TUK
Geekbench AI Score
3208
Single Precision Score
21624
Half Precision Score
33342
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 31 2025 01:14 PM |
| Views | 4 |
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 21NU001TUK |
| Motherboard | LENOVO 21NU001TUK |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 258V |
| 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% |
1933
359.6 IPS |
|
|
Image Classification (HP)
|
100% |
11879
2.21 KIPS |
|
|
Image Classification (Q)
|
100% |
16490
3.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2188
35.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
15184
246.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
26653
432.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3414
3.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
97103
113.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
183308
214.7 IPS |
|
|
Object Detection (SP)
|
100% |
1889
149.9 IPS |
|
|
Object Detection (HP)
|
100% |
15792
1.25 KIPS |
|
|
Object Detection (Q)
|
87% |
22560
1.81 KIPS |
|
|
Face Detection (SP)
|
100% |
5734
68.1 IPS |
|
|
Face Detection (HP)
|
100% |
26721
317.5 IPS |
|
|
Face Detection (Q)
|
100% |
64238
763.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4840
37.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
67839
522.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
107628
837.6 IPS |
|
|
Style Transfer (SP)
|
100% |
9873
12.7 IPS |
|
|
Style Transfer (HP)
|
100% |
190140
244.4 IPS |
|
|
Style Transfer (Q)
|
98% |
270297
348.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2173
80.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22867
844.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
55236
2.05 KIPS |
|
|
Text Classification (SP)
|
100% |
2160
2.88 KIPS |
|
|
Text Classification (HP)
|
100% |
2676
3.57 KIPS |
|
|
Text Classification (Q)
|
92% |
2362
3.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
3296
56.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3832
66.0 IPS |
|
|
Machine Translation (Q)
|
100% |
3832
66.0 IPS |
