LENOVO 21NSSIT054
Geekbench AI Score
693
Single Precision Score
10202
Half Precision Score
12432
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 08 2025 08:49 AM |
| Views | 3 |
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% |
735
136.7 IPS |
|
|
Image Classification (HP)
|
100% |
9881
1.84 KIPS |
|
|
Image Classification (Q)
|
100% |
4278
795.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
340
5.51 IPS |
|
|
Image Segmentation (HP)
|
100% |
7262
117.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
11315
183.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
415
0.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
34705
40.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
73092
85.6 IPS |
|
|
Object Detection (SP)
|
100% |
154
12.2 IPS |
|
|
Object Detection (HP)
|
100% |
4636
367.8 IPS |
|
|
Object Detection (Q)
|
87% |
2917
234.1 IPS |
|
|
Face Detection (SP)
|
100% |
511
6.07 IPS |
|
|
Face Detection (HP)
|
100% |
10115
120.2 IPS |
|
|
Face Detection (Q)
|
100% |
17702
210.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
322
2.48 IPS |
|
|
Depth Estimation (HP)
|
98% |
11872
91.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
27255
212.1 IPS |
|
|
Style Transfer (SP)
|
100% |
1878
2.41 IPS |
|
|
Style Transfer (HP)
|
100% |
189818
244.0 IPS |
|
|
Style Transfer (Q)
|
98% |
301326
388.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1489
55.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19754
729.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23861
883.7 IPS |
|
|
Text Classification (SP)
|
100% |
1482
1.98 KIPS |
|
|
Text Classification (HP)
|
100% |
739
986.2 IPS |
|
|
Text Classification (Q)
|
92% |
780
1.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
2375
40.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3181
54.8 IPS |
|
|
Machine Translation (Q)
|
100% |
3159
54.4 IPS |
