LENOVO E16 LENOVO 21MA0003US
Geekbench AI Score
4654
Single Precision Score
7633
Half Precision Score
11419
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | GT-Avalanche |
| Upload Date | March 28 2026 01:15 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| 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% |
2666
495.8 IPS |
|
|
Image Classification (HP)
|
100% |
4737
881.0 IPS |
|
|
Image Classification (Q)
|
100% |
6139
1.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3561
57.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
7740
125.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
10323
167.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10914
12.7 IPS |
|
|
Pose Estimation (HP)
|
99% |
10026
11.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
35265
41.3 IPS |
|
|
Object Detection (SP)
|
100% |
3012
238.9 IPS |
|
|
Object Detection (HP)
|
100% |
5164
409.6 IPS |
|
|
Object Detection (Q)
|
88% |
8251
661.2 IPS |
|
|
Face Detection (SP)
|
100% |
5941
70.6 IPS |
|
|
Face Detection (HP)
|
100% |
13230
157.2 IPS |
|
|
Face Detection (Q)
|
100% |
21210
252.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9456
72.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
19581
151.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
23310
181.2 IPS |
|
|
Style Transfer (SP)
|
100% |
28539
36.7 IPS |
|
|
Style Transfer (HP)
|
100% |
36346
46.7 IPS |
|
|
Style Transfer (Q)
|
98% |
85358
110.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4837
178.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8433
311.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12102
448.2 IPS |
|
|
Text Classification (SP)
|
71% |
885
1.28 KIPS |
|
|
Text Classification (HP)
|
71% |
1442
2.09 KIPS |
|
|
Text Classification (Q)
|
92% |
1239
1.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
2230
38.4 IPS |
|
|
Machine Translation (HP)
|
98% |
3092
53.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3233
55.9 IPS |
