LENOVO 21HJZAW1CN
Geekbench AI Score
1470
Single Precision Score
1504
Half Precision Score
3308
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 03 2025 09:10 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i5-1335U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21HJZAW1CN |
| Motherboard | LENOVO 21HJZAW1CN |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1335U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 3 |
| Base Frequency | 1.30 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
996
185.2 IPS |
|
|
Image Classification (HP)
|
100% |
1063
197.7 IPS |
|
|
Image Classification (Q)
|
100% |
2371
440.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1398
22.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1292
20.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
1764
28.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1599
1.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
1754
2.05 IPS |
|
|
Pose Estimation (Q)
|
96% |
5025
5.89 IPS |
|
|
Object Detection (SP)
|
100% |
684
54.3 IPS |
|
|
Object Detection (HP)
|
100% |
916
72.6 IPS |
|
|
Object Detection (Q)
|
88% |
2214
177.5 IPS |
|
|
Face Detection (SP)
|
100% |
1951
23.2 IPS |
|
|
Face Detection (HP)
|
100% |
1913
22.7 IPS |
|
|
Face Detection (Q)
|
100% |
5250
62.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2192
16.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2586
19.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
5761
44.8 IPS |
|
|
Style Transfer (SP)
|
100% |
5608
7.21 IPS |
|
|
Style Transfer (HP)
|
100% |
5851
7.52 IPS |
|
|
Style Transfer (Q)
|
98% |
19954
25.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1203
44.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
877
32.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3343
123.8 IPS |
|
|
Text Classification (SP)
|
100% |
994
1.33 KIPS |
|
|
Text Classification (HP)
|
100% |
992
1.32 KIPS |
|
|
Text Classification (Q)
|
92% |
1417
1.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
1081
18.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1069
18.4 IPS |
|
|
Machine Translation (Q)
|
100% |
1182
20.4 IPS |
