HSNB27 LENOVO 21NS00MMGE
Geekbench AI Score
11375
Single Precision Score
28258
Half Precision Score
33157
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | hsvadmin |
| Upload Date | January 08 2026 06:22 PM |
| Views | 5 |
| Notes | LENOVO 21NS00MMGE |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) 140V GPU (16GB) (iGPU) |
| 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% |
7561
1.41 KIPS |
|
|
Image Classification (HP)
|
100% |
15718
2.92 KIPS |
|
|
Image Classification (Q)
|
100% |
19113
3.55 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9873
160.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
26012
421.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
30910
501.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
23527
27.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
135535
158.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
266229
311.7 IPS |
|
|
Object Detection (SP)
|
100% |
6822
541.1 IPS |
|
|
Object Detection (HP)
|
100% |
16614
1.32 KIPS |
|
|
Object Detection (Q)
|
88% |
18191
1.46 KIPS |
|
|
Face Detection (SP)
|
100% |
14135
168.0 IPS |
|
|
Face Detection (HP)
|
100% |
33092
393.2 IPS |
|
|
Face Detection (Q)
|
100% |
45200
537.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
23544
181.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
50103
386.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
72322
562.4 IPS |
|
|
Style Transfer (SP)
|
100% |
53750
69.1 IPS |
|
|
Style Transfer (HP)
|
100% |
153228
197.0 IPS |
|
|
Style Transfer (Q)
|
98% |
173303
223.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10101
373.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29129
1.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36782
1.36 KIPS |
|
|
Text Classification (SP)
|
100% |
4580
6.11 KIPS |
|
|
Text Classification (HP)
|
100% |
5978
7.98 KIPS |
|
|
Text Classification (Q)
|
92% |
3555
4.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
3659
63.0 IPS |
|
|
Machine Translation (HP)
|
98% |
7971
137.8 IPS |
|
|
Machine Translation (Q)
|
100% |
7578
130.5 IPS |
