LENOVO 21Q0SIT027
Geekbench AI Score
1283
Single Precision Score
6959
Half Precision Score
9969
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 08 2025 08:27 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% |
489
90.9 IPS |
|
|
Image Classification (HP)
|
100% |
4086
759.9 IPS |
|
|
Image Classification (Q)
|
100% |
5223
971.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
250
4.06 IPS |
|
|
Image Segmentation (HP)
|
100% |
2413
39.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3185
51.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2575
3.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
30997
36.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
65617
76.9 IPS |
|
|
Object Detection (SP)
|
100% |
571
45.3 IPS |
|
|
Object Detection (HP)
|
100% |
4400
349.0 IPS |
|
|
Object Detection (Q)
|
87% |
7403
594.2 IPS |
|
|
Face Detection (SP)
|
100% |
2464
29.3 IPS |
|
|
Face Detection (HP)
|
100% |
11035
131.1 IPS |
|
|
Face Detection (Q)
|
100% |
18964
225.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2806
21.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
16750
129.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
28322
220.4 IPS |
|
|
Style Transfer (SP)
|
100% |
6377
8.20 IPS |
|
|
Style Transfer (HP)
|
100% |
44836
57.6 IPS |
|
|
Style Transfer (Q)
|
98% |
72900
94.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1297
47.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9312
343.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16203
600.1 IPS |
|
|
Text Classification (SP)
|
100% |
1120
1.49 KIPS |
|
|
Text Classification (HP)
|
100% |
1126
1.50 KIPS |
|
|
Text Classification (Q)
|
92% |
813
1.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
1055
18.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2282
39.3 IPS |
|
|
Machine Translation (Q)
|
100% |
2327
40.1 IPS |
