LENOVO 21MX
Geekbench AI Score
2013
Single Precision Score
2082
Half Precision Score
4913
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | amazing |
| Upload Date | October 11 2025 01:59 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 155U |
| 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% |
1090
202.7 IPS |
|
|
Image Classification (HP)
|
100% |
1134
210.9 IPS |
|
|
Image Classification (Q)
|
100% |
3178
591.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1663
27.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1756
28.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3207
52.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2611
3.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
2495
2.91 IPS |
|
|
Pose Estimation (Q)
|
96% |
9052
10.6 IPS |
|
|
Object Detection (SP)
|
100% |
1098
87.1 IPS |
|
|
Object Detection (HP)
|
100% |
1093
86.7 IPS |
|
|
Object Detection (Q)
|
88% |
2477
198.6 IPS |
|
|
Face Detection (SP)
|
100% |
2739
32.5 IPS |
|
|
Face Detection (HP)
|
100% |
3049
36.2 IPS |
|
|
Face Detection (Q)
|
100% |
6595
78.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3092
23.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3145
24.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
7761
60.4 IPS |
|
|
Style Transfer (SP)
|
100% |
7581
9.75 IPS |
|
|
Style Transfer (HP)
|
100% |
7597
9.77 IPS |
|
|
Style Transfer (Q)
|
98% |
27491
35.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1393
51.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1539
56.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5319
197.0 IPS |
|
|
Text Classification (SP)
|
100% |
1194
1.59 KIPS |
|
|
Text Classification (HP)
|
100% |
1288
1.72 KIPS |
|
|
Text Classification (Q)
|
92% |
2430
3.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
1971
34.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1961
33.8 IPS |
|
|
Machine Translation (Q)
|
100% |
1973
34.0 IPS |
