LENOVO 21MS
Geekbench AI Score
2340
Single Precision Score
2349
Half Precision Score
6059
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 07 2025 09:38 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 125U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro Education (64-bit) |
| Model | LENOVO 21MS |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Zrwnowaony |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 125U |
| Topology | 1 Processor, 12 Cores, 14 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.30 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1322
245.8 IPS |
|
|
Image Classification (HP)
|
100% |
1318
245.1 IPS |
|
|
Image Classification (Q)
|
100% |
4048
752.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1950
31.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1963
31.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4147
67.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2553
2.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
2223
2.59 IPS |
|
|
Pose Estimation (Q)
|
96% |
10654
12.5 IPS |
|
|
Object Detection (SP)
|
100% |
1132
89.8 IPS |
|
|
Object Detection (HP)
|
100% |
1294
102.6 IPS |
|
|
Object Detection (Q)
|
88% |
3924
314.6 IPS |
|
|
Face Detection (SP)
|
100% |
3965
47.1 IPS |
|
|
Face Detection (HP)
|
100% |
3987
47.4 IPS |
|
|
Face Detection (Q)
|
100% |
8393
99.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3812
29.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3690
28.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
9579
74.5 IPS |
|
|
Style Transfer (SP)
|
100% |
7742
9.95 IPS |
|
|
Style Transfer (HP)
|
100% |
8072
10.4 IPS |
|
|
Style Transfer (Q)
|
98% |
28802
37.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1693
62.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1683
62.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6327
234.3 IPS |
|
|
Text Classification (SP)
|
100% |
1501
2.00 KIPS |
|
|
Text Classification (HP)
|
100% |
1581
2.11 KIPS |
|
|
Text Classification (Q)
|
92% |
3005
4.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
2223
38.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2184
37.6 IPS |
|
|
Machine Translation (Q)
|
100% |
2161
37.2 IPS |
