LENOVO 21AJSE0300
Geekbench AI Score
2333
Single Precision Score
2338
Half Precision Score
4965
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | lordhan |
| Upload Date | February 02 2025 07:43 AM |
| Views | 14 |
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% |
1369
254.6 IPS |
|
|
Image Classification (HP)
|
100% |
1376
255.9 IPS |
|
|
Image Classification (Q)
|
100% |
2949
548.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1559
25.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1709
27.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3069
49.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3396
3.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
3171
3.70 IPS |
|
|
Pose Estimation (Q)
|
96% |
9103
10.7 IPS |
|
|
Object Detection (SP)
|
100% |
1398
110.9 IPS |
|
|
Object Detection (HP)
|
100% |
1374
109.0 IPS |
|
|
Object Detection (Q)
|
88% |
2788
223.5 IPS |
|
|
Face Detection (SP)
|
100% |
2744
32.6 IPS |
|
|
Face Detection (HP)
|
100% |
2734
32.5 IPS |
|
|
Face Detection (Q)
|
100% |
7426
88.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3967
30.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3962
30.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
8506
66.1 IPS |
|
|
Style Transfer (SP)
|
100% |
8748
11.2 IPS |
|
|
Style Transfer (HP)
|
100% |
8828
11.3 IPS |
|
|
Style Transfer (Q)
|
98% |
25909
33.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1754
64.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1752
64.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4539
168.1 IPS |
|
|
Text Classification (SP)
|
100% |
1416
1.89 KIPS |
|
|
Text Classification (HP)
|
100% |
1390
1.86 KIPS |
|
|
Text Classification (Q)
|
92% |
2593
3.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
1996
34.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2053
35.4 IPS |
|
|
Machine Translation (Q)
|
100% |
2058
35.4 IPS |
