LENOVO 21ML0056US
Geekbench AI Score
1695
Single Precision Score
1730
Half Precision Score
4308
Quantized Score
Geekbench AI 1.7.0 Pro for Windows AVX2
Result Information
| User | frankholamresearch |
| Upload Date | April 17 2026 06:22 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 135U |
| 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% |
1063
197.6 IPS |
|
|
Image Classification (HP)
|
100% |
1019
189.5 IPS |
|
|
Image Classification (Q)
|
100% |
3115
579.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1573
25.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1578
25.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3637
59.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2283
2.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
2128
2.48 IPS |
|
|
Pose Estimation (Q)
|
96% |
7580
8.88 IPS |
|
|
Object Detection (SP)
|
100% |
803
63.7 IPS |
|
|
Object Detection (HP)
|
100% |
849
67.3 IPS |
|
|
Object Detection (Q)
|
88% |
2306
184.8 IPS |
|
|
Face Detection (SP)
|
100% |
2695
32.0 IPS |
|
|
Face Detection (HP)
|
100% |
2774
33.0 IPS |
|
|
Face Detection (Q)
|
100% |
5258
62.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2408
18.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2335
18.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
7211
56.1 IPS |
|
|
Style Transfer (SP)
|
100% |
5471
7.03 IPS |
|
|
Style Transfer (HP)
|
100% |
5881
7.56 IPS |
|
|
Style Transfer (Q)
|
98% |
21537
27.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1060
39.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1233
45.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4213
156.0 IPS |
|
|
Text Classification (SP)
|
100% |
1192
1.59 KIPS |
|
|
Text Classification (HP)
|
100% |
1188
1.59 KIPS |
|
|
Text Classification (Q)
|
92% |
2303
3.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
1429
24.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1483
25.5 IPS |
|
|
Machine Translation (Q)
|
100% |
1404
24.2 IPS |
