LENOVO 21SJ
Geekbench AI Score
2633
Single Precision Score
1111
Half Precision Score
5170
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 16 2025 12:58 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 225U |
| 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% |
2063
383.6 IPS |
|
|
Image Classification (HP)
|
100% |
457
85.0 IPS |
|
|
Image Classification (Q)
|
99% |
4956
924.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1198
19.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
760
12.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
3001
48.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4128
4.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
2635
3.07 IPS |
|
|
Pose Estimation (Q)
|
94% |
13911
16.3 IPS |
|
|
Object Detection (SP)
|
100% |
1869
148.2 IPS |
|
|
Object Detection (HP)
|
100% |
528
41.9 IPS |
|
|
Object Detection (Q)
|
86% |
4448
357.5 IPS |
|
|
Face Detection (SP)
|
100% |
3941
46.8 IPS |
|
|
Face Detection (HP)
|
100% |
1096
13.0 IPS |
|
|
Face Detection (Q)
|
97% |
6952
82.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5339
41.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1573
12.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
11814
94.3 IPS |
|
|
Style Transfer (SP)
|
100% |
9644
12.4 IPS |
|
|
Style Transfer (HP)
|
100% |
6395
8.22 IPS |
|
|
Style Transfer (Q)
|
98% |
14460
18.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1899
70.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1297
47.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3256
120.6 IPS |
|
|
Text Classification (SP)
|
100% |
1367
1.82 KIPS |
|
|
Text Classification (HP)
|
100% |
636
848.4 IPS |
|
|
Text Classification (Q)
|
97% |
1554
2.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
1597
27.5 IPS |
|
|
Machine Translation (HP)
|
100% |
656
11.3 IPS |
|
|
Machine Translation (Q)
|
65% |
2470
49.6 IPS |
