LENOVO 21HNSDYM00
Geekbench AI Score
1814
Single Precision Score
699
Half Precision Score
2696
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 22 2025 09:52 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-1345U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21HNSDYM00 |
| Motherboard | LENOVO 21HNSDYM00 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1345U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 3 |
| Base Frequency | 1.60 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1273
236.7 IPS |
|
|
Image Classification (HP)
|
100% |
263
49.0 IPS |
|
|
Image Classification (Q)
|
99% |
2709
505.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
922
15.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
475
7.70 IPS |
|
|
Image Segmentation (Q)
|
98% |
1321
21.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2955
3.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
1414
1.65 IPS |
|
|
Pose Estimation (Q)
|
94% |
8334
9.77 IPS |
|
|
Object Detection (SP)
|
100% |
1411
111.9 IPS |
|
|
Object Detection (HP)
|
100% |
312
24.7 IPS |
|
|
Object Detection (Q)
|
86% |
2422
194.7 IPS |
|
|
Face Detection (SP)
|
100% |
3745
44.5 IPS |
|
|
Face Detection (HP)
|
100% |
872
10.4 IPS |
|
|
Face Detection (Q)
|
97% |
4579
54.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3845
29.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
953
7.34 IPS |
|
|
Depth Estimation (Q)
|
78% |
6448
51.5 IPS |
|
|
Style Transfer (SP)
|
100% |
6533
8.40 IPS |
|
|
Style Transfer (HP)
|
100% |
3884
4.99 IPS |
|
|
Style Transfer (Q)
|
98% |
11632
15.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1281
47.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
870
32.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1843
68.2 IPS |
|
|
Text Classification (SP)
|
100% |
820
1.09 KIPS |
|
|
Text Classification (HP)
|
100% |
463
617.5 IPS |
|
|
Text Classification (Q)
|
97% |
284
380.1 IPS |
|
|
Machine Translation (SP)
|
100% |
800
13.8 IPS |
|
|
Machine Translation (HP)
|
100% |
389
6.71 IPS |
|
|
Machine Translation (Q)
|
65% |
1567
31.5 IPS |
