LENOVO 21L2S0FK00
Geekbench AI Score
2329
Single Precision Score
2161
Half Precision Score
5785
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 21 2025 03:32 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 135U |
| 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% |
1312
244.1 IPS |
|
|
Image Classification (HP)
|
100% |
1296
241.0 IPS |
|
|
Image Classification (Q)
|
100% |
4007
745.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1768
28.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1784
28.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4045
65.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3434
4.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
2152
2.51 IPS |
|
|
Pose Estimation (Q)
|
96% |
10001
11.7 IPS |
|
|
Object Detection (SP)
|
100% |
932
73.9 IPS |
|
|
Object Detection (HP)
|
100% |
1122
89.0 IPS |
|
|
Object Detection (Q)
|
88% |
3226
258.6 IPS |
|
|
Face Detection (SP)
|
100% |
3827
45.5 IPS |
|
|
Face Detection (HP)
|
100% |
3809
45.3 IPS |
|
|
Face Detection (Q)
|
100% |
8209
97.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3400
26.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3208
24.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
9338
72.6 IPS |
|
|
Style Transfer (SP)
|
100% |
7826
10.1 IPS |
|
|
Style Transfer (HP)
|
100% |
7916
10.2 IPS |
|
|
Style Transfer (Q)
|
98% |
28948
37.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1851
68.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1576
58.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6484
240.1 IPS |
|
|
Text Classification (SP)
|
100% |
1568
2.09 KIPS |
|
|
Text Classification (HP)
|
100% |
1554
2.07 KIPS |
|
|
Text Classification (Q)
|
92% |
2968
3.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
2146
37.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1687
29.1 IPS |
|
|
Machine Translation (Q)
|
100% |
1880
32.4 IPS |
