LENOVO 21Q0SIT027
Geekbench AI Score
414
Single Precision Score
6867
Half Precision Score
9993
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 08 2025 08:38 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% |
626
116.4 IPS |
|
|
Image Classification (HP)
|
100% |
4322
803.8 IPS |
|
|
Image Classification (Q)
|
100% |
5974
1.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
521
8.45 IPS |
|
|
Image Segmentation (HP)
|
100% |
2446
39.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3185
51.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1017
1.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
26791
31.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
58513
68.5 IPS |
|
|
Object Detection (SP)
|
100% |
156
12.4 IPS |
|
|
Object Detection (HP)
|
100% |
4175
331.1 IPS |
|
|
Object Detection (Q)
|
87% |
6490
520.9 IPS |
|
|
Face Detection (SP)
|
100% |
555
6.59 IPS |
|
|
Face Detection (HP)
|
100% |
11237
133.5 IPS |
|
|
Face Detection (Q)
|
100% |
18650
221.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
542
4.17 IPS |
|
|
Depth Estimation (HP)
|
99% |
15495
119.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
27033
210.3 IPS |
|
|
Style Transfer (SP)
|
100% |
1338
1.72 IPS |
|
|
Style Transfer (HP)
|
100% |
42252
54.3 IPS |
|
|
Style Transfer (Q)
|
98% |
67898
87.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
224
8.26 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9821
362.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15149
561.0 IPS |
|
|
Text Classification (SP)
|
100% |
123
164.7 IPS |
|
|
Text Classification (HP)
|
100% |
1051
1.40 KIPS |
|
|
Text Classification (Q)
|
92% |
1039
1.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
261
4.50 IPS |
|
|
Machine Translation (HP)
|
100% |
2597
44.7 IPS |
|
|
Machine Translation (Q)
|
100% |
2551
43.9 IPS |
