LENOVO 21LE
Geekbench AI Score
3072
Single Precision Score
7603
Half Precision Score
10836
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Geekyang |
| Upload Date | January 03 2025 05:22 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | LENOVO 21LE |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 155H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1640
305.0 IPS |
|
|
Image Classification (HP)
|
100% |
5283
982.5 IPS |
|
|
Image Classification (Q)
|
56% |
4500
1.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2358
38.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2333
37.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3121
50.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4602
5.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
28932
33.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
61201
71.7 IPS |
|
|
Object Detection (SP)
|
100% |
1585
125.7 IPS |
|
|
Object Detection (HP)
|
100% |
4778
379.0 IPS |
|
|
Object Detection (Q)
|
87% |
7345
589.5 IPS |
|
|
Face Detection (SP)
|
100% |
4914
58.4 IPS |
|
|
Face Detection (HP)
|
100% |
11579
137.6 IPS |
|
|
Face Detection (Q)
|
100% |
19315
229.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4944
38.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
14820
114.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
28474
221.6 IPS |
|
|
Style Transfer (SP)
|
100% |
12849
16.5 IPS |
|
|
Style Transfer (HP)
|
100% |
43101
55.4 IPS |
|
|
Style Transfer (Q)
|
98% |
75739
97.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2216
81.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10847
400.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18052
668.5 IPS |
|
|
Text Classification (SP)
|
100% |
1731
2.31 KIPS |
|
|
Text Classification (HP)
|
100% |
1900
2.54 KIPS |
|
|
Text Classification (Q)
|
92% |
1900
2.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
2219
38.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2486
42.8 IPS |
|
|
Machine Translation (Q)
|
100% |
2476
42.6 IPS |
