HSNB27 LENOVO 21NS00MMGE
Geekbench AI Score
3076
Single Precision Score
2060
Half Precision Score
8249
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | hsvadmin |
| Upload Date | January 08 2026 06:25 PM |
| Views | 4 |
| Notes | LENOVO 21NS00MMGE |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| 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% |
1930
358.9 IPS |
|
|
Image Classification (HP)
|
100% |
1378
256.3 IPS |
|
|
Image Classification (Q)
|
100% |
5314
988.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2161
35.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1127
18.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
5142
83.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3356
3.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
1944
2.27 IPS |
|
|
Pose Estimation (Q)
|
96% |
12597
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
1760
139.6 IPS |
|
|
Object Detection (HP)
|
100% |
1205
95.6 IPS |
|
|
Object Detection (Q)
|
88% |
5538
444.0 IPS |
|
|
Face Detection (SP)
|
100% |
5370
63.8 IPS |
|
|
Face Detection (HP)
|
100% |
4080
48.5 IPS |
|
|
Face Detection (Q)
|
100% |
13771
163.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4453
34.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3011
23.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
14069
109.4 IPS |
|
|
Style Transfer (SP)
|
100% |
9117
11.7 IPS |
|
|
Style Transfer (HP)
|
100% |
5771
7.42 IPS |
|
|
Style Transfer (Q)
|
98% |
35722
46.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1990
73.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1370
50.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7713
285.6 IPS |
|
|
Text Classification (SP)
|
100% |
2156
2.88 KIPS |
|
|
Text Classification (HP)
|
100% |
1427
1.90 KIPS |
|
|
Text Classification (Q)
|
92% |
4454
5.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
3295
56.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2730
47.0 IPS |
|
|
Machine Translation (Q)
|
100% |
3221
55.5 IPS |
