LENOVO 21MX
Geekbench AI Score
2061
Single Precision Score
7799
Half Precision Score
12213
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | amazing |
| Upload Date | October 11 2025 02:03 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 21MX |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 155U |
| Topology | 1 Processor, 12 Cores, 14 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1336
248.5 IPS |
|
|
Image Classification (HP)
|
100% |
5810
1.08 KIPS |
|
|
Image Classification (Q)
|
100% |
8306
1.54 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1745
28.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2476
40.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3379
54.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2638
3.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
29571
34.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
63670
74.6 IPS |
|
|
Object Detection (SP)
|
100% |
1092
86.6 IPS |
|
|
Object Detection (HP)
|
100% |
4850
384.7 IPS |
|
|
Object Detection (Q)
|
87% |
8307
666.7 IPS |
|
|
Face Detection (SP)
|
100% |
2810
33.4 IPS |
|
|
Face Detection (HP)
|
100% |
11881
141.2 IPS |
|
|
Face Detection (Q)
|
100% |
23899
284.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2966
22.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
12706
97.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
24038
187.0 IPS |
|
|
Style Transfer (SP)
|
100% |
7251
9.32 IPS |
|
|
Style Transfer (HP)
|
100% |
37035
47.6 IPS |
|
|
Style Transfer (Q)
|
98% |
69805
90.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1385
51.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11555
426.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19601
725.9 IPS |
|
|
Text Classification (SP)
|
100% |
1253
1.67 KIPS |
|
|
Text Classification (HP)
|
100% |
1768
2.36 KIPS |
|
|
Text Classification (Q)
|
92% |
1772
2.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
1970
33.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3535
60.9 IPS |
|
|
Machine Translation (Q)
|
100% |
3571
61.5 IPS |
