LENOVO 21LE
Geekbench AI Score
7851
Single Precision Score
12283
Half Precision Score
18470
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Eugene107 |
| Upload Date | April 27 2025 01:02 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Windows 11 (64-bit) |
| Model | LENOVO 21LE |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 5 125H |
| Topology | 1 Processor, 14 Cores, 18 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5653
1.05 KIPS |
|
|
Image Classification (HP)
|
100% |
8342
1.55 KIPS |
|
|
Image Classification (Q)
|
100% |
9919
1.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4494
72.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
11224
182.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
17065
276.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
22150
25.8 IPS |
|
|
Pose Estimation (HP)
|
99% |
19560
22.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
67309
78.8 IPS |
|
|
Object Detection (SP)
|
100% |
5353
424.6 IPS |
|
|
Object Detection (HP)
|
100% |
8600
682.2 IPS |
|
|
Object Detection (Q)
|
88% |
13127
1.05 KIPS |
|
|
Face Detection (SP)
|
100% |
8108
96.3 IPS |
|
|
Face Detection (HP)
|
100% |
16302
193.7 IPS |
|
|
Face Detection (Q)
|
100% |
27828
330.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
18406
141.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
32993
255.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
37911
294.7 IPS |
|
|
Style Transfer (SP)
|
100% |
51240
65.9 IPS |
|
|
Style Transfer (HP)
|
100% |
68030
87.5 IPS |
|
|
Style Transfer (Q)
|
98% |
153872
198.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8807
325.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15245
562.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21614
800.5 IPS |
|
|
Text Classification (SP)
|
71% |
1731
2.50 KIPS |
|
|
Text Classification (HP)
|
71% |
2575
3.72 KIPS |
|
|
Text Classification (Q)
|
92% |
2528
3.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
2535
43.7 IPS |
|
|
Machine Translation (HP)
|
96% |
3458
59.8 IPS |
|
|
Machine Translation (Q)
|
100% |
3484
60.0 IPS |
