LENOVO 21SJ
Geekbench AI Score
2175
Single Precision Score
8144
Half Precision Score
12751
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 16 2025 01:01 PM |
| Views | 6 |
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 21SJ |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Vyven |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 225U |
| Topology | 1 Processor, 12 Cores, 14 Threads |
| Identifier | GenuineIntel Family 6 Model 181 Stepping 0 |
| Base Frequency | 1.50 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1506
280.1 IPS |
|
|
Image Classification (HP)
|
100% |
6353
1.18 KIPS |
|
|
Image Classification (Q)
|
100% |
8641
1.61 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2058
33.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2632
42.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3594
58.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3595
4.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
31382
36.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
67645
79.2 IPS |
|
|
Object Detection (SP)
|
100% |
1171
92.9 IPS |
|
|
Object Detection (HP)
|
100% |
5046
400.3 IPS |
|
|
Object Detection (Q)
|
87% |
8852
710.4 IPS |
|
|
Face Detection (SP)
|
100% |
3043
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
11281
134.0 IPS |
|
|
Face Detection (Q)
|
100% |
24231
287.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3410
26.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
12632
97.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
22249
173.1 IPS |
|
|
Style Transfer (SP)
|
100% |
7899
10.2 IPS |
|
|
Style Transfer (HP)
|
100% |
37612
48.4 IPS |
|
|
Style Transfer (Q)
|
98% |
71649
92.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1493
55.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12210
450.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20769
769.1 IPS |
|
|
Text Classification (SP)
|
100% |
977
1.30 KIPS |
|
|
Text Classification (HP)
|
100% |
1970
2.63 KIPS |
|
|
Text Classification (Q)
|
92% |
1997
2.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
1522
26.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3764
64.8 IPS |
|
|
Machine Translation (Q)
|
100% |
3816
65.7 IPS |
