LENOVO E16 LENOVO 21MA0003US
Geekbench AI Score
1550
Single Precision Score
8369
Half Precision Score
12750
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | GT-Avalanche |
| Upload Date | March 28 2026 01:09 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (64-bit) |
| Model | LENOVO 21MA0003US |
| Motherboard | LENOVO 21MA0003US |
| Power Plan | Utilisation normale |
| CPU Information | |
|---|---|
| Name | Intel Core 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
993
184.6 IPS |
|
|
Image Classification (HP)
|
100% |
5849
1.09 KIPS |
|
|
Image Classification (Q)
|
100% |
8515
1.58 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1138
18.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2428
39.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2974
48.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2167
2.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
27632
32.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
56202
65.8 IPS |
|
|
Object Detection (SP)
|
100% |
463
36.7 IPS |
|
|
Object Detection (HP)
|
100% |
4106
325.7 IPS |
|
|
Object Detection (Q)
|
88% |
6508
521.7 IPS |
|
|
Face Detection (SP)
|
100% |
1539
18.3 IPS |
|
|
Face Detection (HP)
|
100% |
15300
181.8 IPS |
|
|
Face Detection (Q)
|
100% |
27414
325.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3143
24.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
16179
124.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
29585
230.2 IPS |
|
|
Style Transfer (SP)
|
100% |
5831
7.50 IPS |
|
|
Style Transfer (HP)
|
100% |
46362
59.6 IPS |
|
|
Style Transfer (Q)
|
98% |
82598
106.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1122
41.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13756
507.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
26151
968.5 IPS |
|
|
Text Classification (SP)
|
100% |
1303
1.74 KIPS |
|
|
Text Classification (HP)
|
100% |
1721
2.30 KIPS |
|
|
Text Classification (Q)
|
92% |
1811
2.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
1721
29.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3854
66.4 IPS |
|
|
Machine Translation (Q)
|
100% |
3866
66.6 IPS |
