LENOVO 21ML0056US
Geekbench AI Score
1843
Single Precision Score
8552
Half Precision Score
13353
Quantized Score
Geekbench AI 1.7.0 Pro for Windows AVX2
Result Information
| User | frankholamresearch |
| Upload Date | April 17 2026 06:33 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | LENOVO 21ML0056US |
| Motherboard | LENOVO 21ML0056US |
| Power Plan | Task Sequence High Performance |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 5 135U |
| Topology | 1 Processor, 12 Cores, 14 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.60 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
877
163.1 IPS |
|
|
Image Classification (HP)
|
100% |
5871
1.09 KIPS |
|
|
Image Classification (Q)
|
100% |
8362
1.56 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1505
24.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2472
40.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2986
48.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1996
2.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
25986
30.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
60744
71.2 IPS |
|
|
Object Detection (SP)
|
100% |
876
69.5 IPS |
|
|
Object Detection (HP)
|
100% |
5196
412.2 IPS |
|
|
Object Detection (Q)
|
88% |
8924
715.4 IPS |
|
|
Face Detection (SP)
|
100% |
3450
41.0 IPS |
|
|
Face Detection (HP)
|
100% |
14218
168.9 IPS |
|
|
Face Detection (Q)
|
100% |
27297
324.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2376
18.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
16516
127.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
30485
237.2 IPS |
|
|
Style Transfer (SP)
|
100% |
7630
9.81 IPS |
|
|
Style Transfer (HP)
|
100% |
48358
62.2 IPS |
|
|
Style Transfer (Q)
|
98% |
85916
110.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1149
42.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13672
504.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
26871
995.1 IPS |
|
|
Text Classification (SP)
|
100% |
1369
1.83 KIPS |
|
|
Text Classification (HP)
|
100% |
1785
2.38 KIPS |
|
|
Text Classification (Q)
|
92% |
1768
2.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
2002
34.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3855
66.4 IPS |
|
|
Machine Translation (Q)
|
100% |
3922
67.6 IPS |
