LENOVO 21SJ
Geekbench AI Score
3877
Single Precision Score
1631
Half Precision Score
7265
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 15 2025 07:21 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 255H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21SJ |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Zrwnowaony |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 255H |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2874
534.6 IPS |
|
|
Image Classification (HP)
|
100% |
606
112.7 IPS |
|
|
Image Classification (Q)
|
99% |
6564
1.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1932
31.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1092
17.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
9258
150.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6843
7.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
4476
5.22 IPS |
|
|
Pose Estimation (Q)
|
94% |
21784
25.5 IPS |
|
|
Object Detection (SP)
|
100% |
2733
216.8 IPS |
|
|
Object Detection (HP)
|
100% |
756
60.0 IPS |
|
|
Object Detection (Q)
|
86% |
6795
546.1 IPS |
|
|
Face Detection (SP)
|
100% |
6937
82.4 IPS |
|
|
Face Detection (HP)
|
100% |
1679
19.9 IPS |
|
|
Face Detection (Q)
|
97% |
8669
103.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7716
59.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2214
17.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
14743
117.6 IPS |
|
|
Style Transfer (SP)
|
100% |
15640
20.1 IPS |
|
|
Style Transfer (HP)
|
100% |
11297
14.5 IPS |
|
|
Style Transfer (Q)
|
98% |
18001
23.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2842
105.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2089
77.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4520
167.4 IPS |
|
|
Text Classification (SP)
|
100% |
1420
1.89 KIPS |
|
|
Text Classification (HP)
|
100% |
657
876.6 IPS |
|
|
Text Classification (Q)
|
97% |
1329
1.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
2189
37.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1035
17.8 IPS |
|
|
Machine Translation (Q)
|
65% |
3299
66.3 IPS |
