LENOVO 21NS000XGE
Geekbench AI Score
2024
Single Precision Score
840
Half Precision Score
3883
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 08 2025 07:56 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 258V |
| 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% |
1514
281.6 IPS |
|
|
Image Classification (HP)
|
100% |
316
58.7 IPS |
|
|
Image Classification (Q)
|
99% |
2952
550.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
956
15.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
565
9.16 IPS |
|
|
Image Segmentation (Q)
|
98% |
4496
73.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3199
3.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
2182
2.55 IPS |
|
|
Pose Estimation (Q)
|
94% |
10445
12.2 IPS |
|
|
Object Detection (SP)
|
100% |
1369
108.6 IPS |
|
|
Object Detection (HP)
|
100% |
406
32.2 IPS |
|
|
Object Detection (Q)
|
86% |
3538
284.3 IPS |
|
|
Face Detection (SP)
|
100% |
4089
48.6 IPS |
|
|
Face Detection (HP)
|
100% |
967
11.5 IPS |
|
|
Face Detection (Q)
|
97% |
5320
63.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4543
35.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1261
9.71 IPS |
|
|
Depth Estimation (Q)
|
78% |
7452
59.5 IPS |
|
|
Style Transfer (SP)
|
100% |
8006
10.3 IPS |
|
|
Style Transfer (HP)
|
100% |
3772
4.85 IPS |
|
|
Style Transfer (Q)
|
98% |
11390
14.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1450
53.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1016
37.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2885
106.8 IPS |
|
|
Text Classification (SP)
|
100% |
674
900.0 IPS |
|
|
Text Classification (HP)
|
100% |
410
547.1 IPS |
|
|
Text Classification (Q)
|
97% |
782
1.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
1256
21.6 IPS |
|
|
Machine Translation (HP)
|
100% |
584
10.1 IPS |
|
|
Machine Translation (Q)
|
65% |
1561
31.4 IPS |
