HSNB27 LENOVO 21NS00MMGE
Geekbench AI Score
3154
Single Precision Score
1317
Half Precision Score
6469
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | hsvadmin |
| Upload Date | January 08 2026 06:15 PM |
| Views | 5 |
| Notes | LENOVO 21NS00MMGE |
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 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% |
2320
431.5 IPS |
|
|
Image Classification (HP)
|
100% |
599
111.5 IPS |
|
|
Image Classification (Q)
|
99% |
5432
1.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1526
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1031
16.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
7270
118.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4783
5.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
2811
3.28 IPS |
|
|
Pose Estimation (Q)
|
94% |
16260
19.1 IPS |
|
|
Object Detection (SP)
|
100% |
2136
169.4 IPS |
|
|
Object Detection (HP)
|
100% |
611
48.4 IPS |
|
|
Object Detection (Q)
|
86% |
5333
428.6 IPS |
|
|
Face Detection (SP)
|
100% |
6460
76.8 IPS |
|
|
Face Detection (HP)
|
100% |
1359
16.2 IPS |
|
|
Face Detection (Q)
|
97% |
8527
101.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6231
48.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1795
13.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
13886
110.8 IPS |
|
|
Style Transfer (SP)
|
100% |
10879
14.0 IPS |
|
|
Style Transfer (HP)
|
100% |
7613
9.79 IPS |
|
|
Style Transfer (Q)
|
98% |
18792
24.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2117
78.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1561
57.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4754
176.0 IPS |
|
|
Text Classification (SP)
|
100% |
1415
1.89 KIPS |
|
|
Text Classification (HP)
|
100% |
661
882.0 IPS |
|
|
Text Classification (Q)
|
97% |
1343
1.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
2054
35.4 IPS |
|
|
Machine Translation (HP)
|
100% |
777
13.4 IPS |
|
|
Machine Translation (Q)
|
65% |
2641
53.1 IPS |
