LENOVO 21EYS3YR00
Geekbench AI Score
1907
Single Precision Score
712
Half Precision Score
2925
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 20 2025 07:29 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core 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% |
1619
301.2 IPS |
|
|
Image Classification (HP)
|
100% |
362
67.3 IPS |
|
|
Image Classification (Q)
|
99% |
3417
637.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
989
16.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
685
11.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1804
29.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3277
3.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
1539
1.80 IPS |
|
|
Pose Estimation (Q)
|
94% |
9167
10.7 IPS |
|
|
Object Detection (SP)
|
100% |
1530
121.3 IPS |
|
|
Object Detection (HP)
|
100% |
339
26.9 IPS |
|
|
Object Detection (Q)
|
86% |
2752
221.2 IPS |
|
|
Face Detection (SP)
|
100% |
3852
45.8 IPS |
|
|
Face Detection (HP)
|
100% |
1015
12.1 IPS |
|
|
Face Detection (Q)
|
97% |
5624
67.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4217
32.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
863
6.65 IPS |
|
|
Depth Estimation (Q)
|
78% |
7452
59.5 IPS |
|
|
Style Transfer (SP)
|
100% |
5354
6.88 IPS |
|
|
Style Transfer (HP)
|
100% |
3227
4.15 IPS |
|
|
Style Transfer (Q)
|
98% |
10141
13.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1179
43.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
640
23.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1549
57.4 IPS |
|
|
Text Classification (SP)
|
100% |
968
1.29 KIPS |
|
|
Text Classification (HP)
|
100% |
473
631.2 IPS |
|
|
Text Classification (Q)
|
97% |
421
563.8 IPS |
|
|
Machine Translation (SP)
|
100% |
801
13.8 IPS |
|
|
Machine Translation (HP)
|
100% |
305
5.26 IPS |
|
|
Machine Translation (Q)
|
65% |
1064
21.4 IPS |
