LENOVO 21EYS3YR00
Geekbench AI Score
1497
Single Precision Score
1382
Half Precision Score
3065
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 20 2025 07:41 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i5-1345U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | LENOVO 21EYS3YR00 |
| Motherboard | LENOVO 21EYS3YR00 |
| Power Plan | Balanced |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1031
191.7 IPS |
|
|
Image Classification (HP)
|
100% |
1021
189.9 IPS |
|
|
Image Classification (Q)
|
100% |
2506
466.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1677
27.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1667
27.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3049
49.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2337
2.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
1687
1.97 IPS |
|
|
Pose Estimation (Q)
|
96% |
4924
5.77 IPS |
|
|
Object Detection (SP)
|
100% |
795
63.1 IPS |
|
|
Object Detection (HP)
|
100% |
744
59.0 IPS |
|
|
Object Detection (Q)
|
88% |
1950
156.3 IPS |
|
|
Face Detection (SP)
|
100% |
2603
30.9 IPS |
|
|
Face Detection (HP)
|
100% |
2408
28.6 IPS |
|
|
Face Detection (Q)
|
100% |
4188
49.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1594
12.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1446
11.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
3025
23.5 IPS |
|
|
Style Transfer (SP)
|
100% |
4145
5.33 IPS |
|
|
Style Transfer (HP)
|
100% |
4274
5.49 IPS |
|
|
Style Transfer (Q)
|
98% |
16950
21.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
970
35.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
884
32.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2800
103.7 IPS |
|
|
Text Classification (SP)
|
100% |
1156
1.54 KIPS |
|
|
Text Classification (HP)
|
100% |
1010
1.35 KIPS |
|
|
Text Classification (Q)
|
92% |
1980
2.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
916
15.8 IPS |
|
|
Machine Translation (HP)
|
100% |
901
15.5 IPS |
|
|
Machine Translation (Q)
|
100% |
839
14.4 IPS |
