LENOVO 21NSSIT054
Geekbench AI Score
495
Single Precision Score
9568
Half Precision Score
13872
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 08 2025 08:39 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 21NSSIT054 |
| Motherboard | LENOVO 21NSSIT054 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 236V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1299
241.6 IPS |
|
|
Image Classification (HP)
|
100% |
10959
2.04 KIPS |
|
|
Image Classification (Q)
|
100% |
9818
1.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1106
17.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
13285
215.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
22729
368.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
473
0.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
34187
39.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
75450
88.4 IPS |
|
|
Object Detection (SP)
|
100% |
118
9.38 IPS |
|
|
Object Detection (HP)
|
100% |
2527
200.4 IPS |
|
|
Object Detection (Q)
|
87% |
3839
308.1 IPS |
|
|
Face Detection (SP)
|
100% |
426
5.07 IPS |
|
|
Face Detection (HP)
|
100% |
11918
141.6 IPS |
|
|
Face Detection (Q)
|
100% |
19808
235.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
320
2.46 IPS |
|
|
Depth Estimation (HP)
|
98% |
17280
133.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
27776
216.2 IPS |
|
|
Style Transfer (SP)
|
100% |
888
1.14 IPS |
|
|
Style Transfer (HP)
|
100% |
44131
56.7 IPS |
|
|
Style Transfer (Q)
|
98% |
122433
157.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
756
27.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22237
821.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23863
883.7 IPS |
|
|
Text Classification (SP)
|
100% |
272
362.4 IPS |
|
|
Text Classification (HP)
|
100% |
743
991.4 IPS |
|
|
Text Classification (Q)
|
92% |
798
1.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
444
7.64 IPS |
|
|
Machine Translation (HP)
|
100% |
3408
58.7 IPS |
|
|
Machine Translation (Q)
|
100% |
3184
54.8 IPS |
