LENOVO 21LE
Geekbench AI Score
2898
Single Precision Score
6957
Half Precision Score
10765
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 27 2024 07:39 AM |
| Views | 2 |
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% |
1479
275.1 IPS |
|
|
Image Classification (HP)
|
100% |
5278
981.5 IPS |
|
|
Image Classification (Q)
|
100% |
7282
1.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2412
39.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2197
35.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2912
47.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4351
5.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
29006
33.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
61635
72.2 IPS |
|
|
Object Detection (SP)
|
100% |
1488
118.0 IPS |
|
|
Object Detection (HP)
|
100% |
4101
325.3 IPS |
|
|
Object Detection (Q)
|
89% |
7234
579.4 IPS |
|
|
Face Detection (SP)
|
100% |
4814
57.2 IPS |
|
|
Face Detection (HP)
|
100% |
10732
127.5 IPS |
|
|
Face Detection (Q)
|
100% |
21349
253.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4925
37.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
14443
111.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
28037
218.1 IPS |
|
|
Style Transfer (SP)
|
100% |
12172
15.6 IPS |
|
|
Style Transfer (HP)
|
100% |
41939
53.9 IPS |
|
|
Style Transfer (Q)
|
98% |
74921
96.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2145
79.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10966
404.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18165
672.7 IPS |
|
|
Text Classification (SP)
|
100% |
1467
1.96 KIPS |
|
|
Text Classification (HP)
|
100% |
1153
1.54 KIPS |
|
|
Text Classification (Q)
|
92% |
1148
1.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
1997
34.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2344
40.4 IPS |
|
|
Machine Translation (Q)
|
100% |
2365
40.7 IPS |
