LENOVO 21EYS3YR00
Geekbench AI Score
2279
Single Precision Score
2309
Half Precision Score
1446
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 20 2025 07:34 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Iris(R) Xe Graphics |
| 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% |
1002
186.4 IPS |
|
|
Image Classification (HP)
|
100% |
1030
191.5 IPS |
|
|
Image Classification (Q)
|
100% |
852
158.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1533
24.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1773
28.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1116
18.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7862
9.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
9379
10.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
4669
5.47 IPS |
|
|
Object Detection (SP)
|
100% |
1133
89.9 IPS |
|
|
Object Detection (HP)
|
98% |
996
79.2 IPS |
|
|
Object Detection (Q)
|
86% |
846
68.0 IPS |
|
|
Face Detection (SP)
|
100% |
2203
26.2 IPS |
|
|
Face Detection (HP)
|
100% |
2532
30.1 IPS |
|
|
Face Detection (Q)
|
97% |
1613
19.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4449
34.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
5057
39.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
3125
25.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17399
22.4 IPS |
|
|
Style Transfer (HP)
|
100% |
23444
30.1 IPS |
|
|
Style Transfer (Q)
|
98% |
10861
14.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2608
96.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3423
126.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1188
44.0 IPS |
|
|
Text Classification (SP)
|
100% |
733
978.4 IPS |
|
|
Text Classification (HP)
|
100% |
301
402.0 IPS |
|
|
Text Classification (Q)
|
97% |
395
529.0 IPS |
|
|
Machine Translation (SP)
|
100% |
850
14.6 IPS |
|
|
Machine Translation (HP)
|
100% |
819
14.1 IPS |
|
|
Machine Translation (Q)
|
70% |
416
7.80 IPS |
