LENOVO 21Q0SIT027
Geekbench AI Score
451
Single Precision Score
7099
Half Precision Score
10676
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 08 2025 08:49 AM |
| 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 21Q0SIT027 |
| Motherboard | LENOVO 21Q0SIT027 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 235U |
| Topology | 1 Processor, 12 Cores, 14 Threads |
| Identifier | GenuineIntel Family 6 Model 181 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
462
86.0 IPS |
|
|
Image Classification (HP)
|
100% |
5366
998.0 IPS |
|
|
Image Classification (Q)
|
100% |
7460
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
386
6.26 IPS |
|
|
Image Segmentation (HP)
|
100% |
2165
35.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2842
46.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
589
0.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
27593
32.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
58762
68.8 IPS |
|
|
Object Detection (SP)
|
100% |
156
12.3 IPS |
|
|
Object Detection (HP)
|
100% |
4112
326.2 IPS |
|
|
Object Detection (Q)
|
87% |
6734
540.4 IPS |
|
|
Face Detection (SP)
|
100% |
483
5.74 IPS |
|
|
Face Detection (HP)
|
100% |
10397
123.5 IPS |
|
|
Face Detection (Q)
|
100% |
17642
209.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
431
3.32 IPS |
|
|
Depth Estimation (HP)
|
99% |
15354
118.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
26955
209.7 IPS |
|
|
Style Transfer (SP)
|
100% |
1380
1.77 IPS |
|
|
Style Transfer (HP)
|
100% |
41903
53.9 IPS |
|
|
Style Transfer (Q)
|
98% |
64824
83.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
598
22.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11304
417.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18040
668.1 IPS |
|
|
Text Classification (SP)
|
100% |
354
472.8 IPS |
|
|
Text Classification (HP)
|
100% |
1288
1.72 KIPS |
|
|
Text Classification (Q)
|
92% |
1542
2.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
353
6.09 IPS |
|
|
Machine Translation (HP)
|
100% |
2533
43.6 IPS |
|
|
Machine Translation (Q)
|
100% |
2676
46.1 IPS |
