LENOVO 21L2S0FK00
Geekbench AI Score
2564
Single Precision Score
8808
Half Precision Score
13725
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 21 2025 03:22 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21L2S0FK00 |
| Motherboard | LENOVO 21L2S0FK00 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 135U |
| Topology | 1 Processor, 12 Cores, 14 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.60 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1231
228.9 IPS |
|
|
Image Classification (HP)
|
100% |
6336
1.18 KIPS |
|
|
Image Classification (Q)
|
100% |
8811
1.64 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1945
31.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2460
39.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3074
49.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3456
4.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
30448
35.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
65362
76.6 IPS |
|
|
Object Detection (SP)
|
100% |
1358
107.7 IPS |
|
|
Object Detection (HP)
|
100% |
5370
426.0 IPS |
|
|
Object Detection (Q)
|
88% |
9065
726.8 IPS |
|
|
Face Detection (SP)
|
100% |
3926
46.7 IPS |
|
|
Face Detection (HP)
|
100% |
15405
183.1 IPS |
|
|
Face Detection (Q)
|
100% |
28866
343.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4044
31.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
15999
123.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
29681
230.9 IPS |
|
|
Style Transfer (SP)
|
100% |
10213
13.1 IPS |
|
|
Style Transfer (HP)
|
100% |
45436
58.4 IPS |
|
|
Style Transfer (Q)
|
98% |
84157
108.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1875
69.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14137
522.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27593
1.02 KIPS |
|
|
Text Classification (SP)
|
100% |
1566
2.09 KIPS |
|
|
Text Classification (HP)
|
100% |
1853
2.47 KIPS |
|
|
Text Classification (Q)
|
92% |
1944
2.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
2296
39.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3760
64.8 IPS |
|
|
Machine Translation (Q)
|
100% |
3823
65.9 IPS |
