LENOVO 21AJSE0300
Geekbench AI Score
602
Single Precision Score
633
Half Precision Score
1345
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | lordhan |
| Upload Date | February 01 2025 05:42 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 12th Gen Intel(R) Core(TM) i7-1255U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | LENOVO 21AJSE0300 |
| Motherboard | LENOVO 21AJSE0300 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1255U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 4 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
396
73.6 IPS |
|
|
Image Classification (HP)
|
100% |
375
69.7 IPS |
|
|
Image Classification (Q)
|
100% |
747
138.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
572
9.27 IPS |
|
|
Image Segmentation (HP)
|
100% |
551
8.94 IPS |
|
|
Image Segmentation (Q)
|
99% |
1095
17.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
935
1.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
982
1.15 IPS |
|
|
Pose Estimation (Q)
|
96% |
2779
3.26 IPS |
|
|
Object Detection (SP)
|
100% |
316
25.0 IPS |
|
|
Object Detection (HP)
|
100% |
344
27.3 IPS |
|
|
Object Detection (Q)
|
88% |
677
54.3 IPS |
|
|
Face Detection (SP)
|
100% |
847
10.1 IPS |
|
|
Face Detection (HP)
|
100% |
973
11.6 IPS |
|
|
Face Detection (Q)
|
100% |
2248
26.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
873
6.72 IPS |
|
|
Depth Estimation (HP)
|
99% |
864
6.66 IPS |
|
|
Depth Estimation (Q)
|
89% |
2030
15.8 IPS |
|
|
Style Transfer (SP)
|
100% |
2576
3.31 IPS |
|
|
Style Transfer (HP)
|
100% |
2658
3.42 IPS |
|
|
Style Transfer (Q)
|
98% |
7452
9.61 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
427
15.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
510
18.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1474
54.6 IPS |
|
|
Text Classification (SP)
|
100% |
230
306.6 IPS |
|
|
Text Classification (HP)
|
100% |
257
343.4 IPS |
|
|
Text Classification (Q)
|
92% |
475
637.5 IPS |
|
|
Machine Translation (SP)
|
100% |
506
8.71 IPS |
|
|
Machine Translation (HP)
|
100% |
511
8.81 IPS |
|
|
Machine Translation (Q)
|
100% |
531
9.15 IPS |
