LENOVO 21NS000XGE
Geekbench AI Score
2093
Single Precision Score
18451
Half Precision Score
25960
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 08 2025 08:16 PM |
| Views | 8 |
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 21NS000XGE |
| Motherboard | LENOVO 21NS000XGE |
| 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% |
1384
257.4 IPS |
|
|
Image Classification (HP)
|
100% |
9454
1.76 KIPS |
|
|
Image Classification (Q)
|
100% |
9129
1.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1367
22.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
15246
247.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
28526
462.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2344
2.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
98825
115.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
185894
217.8 IPS |
|
|
Object Detection (SP)
|
100% |
1249
99.1 IPS |
|
|
Object Detection (HP)
|
100% |
11636
923.0 IPS |
|
|
Object Detection (Q)
|
87% |
16413
1.32 KIPS |
|
|
Face Detection (SP)
|
100% |
3677
43.7 IPS |
|
|
Face Detection (HP)
|
100% |
23769
282.4 IPS |
|
|
Face Detection (Q)
|
100% |
46102
547.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3093
23.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
59028
454.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
91607
712.9 IPS |
|
|
Style Transfer (SP)
|
100% |
6803
8.75 IPS |
|
|
Style Transfer (HP)
|
100% |
191132
245.7 IPS |
|
|
Style Transfer (Q)
|
98% |
284133
366.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1397
51.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24819
916.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
38041
1.41 KIPS |
|
|
Text Classification (SP)
|
100% |
1369
1.83 KIPS |
|
|
Text Classification (HP)
|
100% |
1231
1.64 KIPS |
|
|
Text Classification (Q)
|
92% |
1170
1.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
1970
33.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3368
58.0 IPS |
|
|
Machine Translation (Q)
|
100% |
3277
56.4 IPS |
