HSNB27 LENOVO 21NS00MMGE
Geekbench AI Score
3190
Single Precision Score
27856
Half Precision Score
45283
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | hsvadmin |
| Upload Date | January 08 2026 06:18 PM |
| Views | 7 |
| Notes | LENOVO 21NS00MMGE |
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 21NS00MMGE |
| Motherboard | LENOVO 21NS00MMGE |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core 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% |
1928
358.5 IPS |
|
|
Image Classification (HP)
|
100% |
14857
2.76 KIPS |
|
|
Image Classification (Q)
|
100% |
21789
4.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2188
35.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
18205
295.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
29024
470.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3387
3.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
106012
123.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
246717
289.0 IPS |
|
|
Object Detection (SP)
|
100% |
1853
147.0 IPS |
|
|
Object Detection (HP)
|
100% |
17161
1.36 KIPS |
|
|
Object Detection (Q)
|
88% |
26139
2.10 KIPS |
|
|
Face Detection (SP)
|
100% |
5802
68.9 IPS |
|
|
Face Detection (HP)
|
100% |
38543
458.0 IPS |
|
|
Face Detection (Q)
|
100% |
82329
978.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4759
36.7 IPS |
|
|
Depth Estimation (HP)
|
92% |
81370
631.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
154767
1.20 KIPS |
|
|
Style Transfer (SP)
|
100% |
9888
12.7 IPS |
|
|
Style Transfer (HP)
|
100% |
235426
302.6 IPS |
|
|
Style Transfer (Q)
|
98% |
347178
447.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2123
78.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40086
1.48 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
70450
2.61 KIPS |
|
|
Text Classification (SP)
|
100% |
2167
2.89 KIPS |
|
|
Text Classification (HP)
|
100% |
2917
3.89 KIPS |
|
|
Text Classification (Q)
|
92% |
3684
4.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
3291
56.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6622
114.1 IPS |
|
|
Machine Translation (Q)
|
100% |
7744
133.4 IPS |
