LENOVO 11EWS3E800
Geekbench AI Score
1685
Single Precision Score
874
Half Precision Score
2310
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | fhmferreira |
| Upload Date | April 01 2025 01:15 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-10400 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 11EWS3E800 |
| Motherboard | LENOVO 3168 |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | Intel Core i5-10400 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 3 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1308
243.3 IPS |
|
|
Image Classification (HP)
|
100% |
330
61.3 IPS |
|
|
Image Classification (Q)
|
96% |
2553
476.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
718
11.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
484
7.84 IPS |
|
|
Image Segmentation (Q)
|
97% |
1283
20.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2778
3.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
2427
2.83 IPS |
|
|
Pose Estimation (Q)
|
86% |
6225
7.36 IPS |
|
|
Object Detection (SP)
|
100% |
1217
96.5 IPS |
|
|
Object Detection (HP)
|
100% |
411
32.6 IPS |
|
|
Object Detection (Q)
|
58% |
1600
174.8 IPS |
|
|
Face Detection (SP)
|
100% |
1680
20.0 IPS |
|
|
Face Detection (HP)
|
100% |
748
8.89 IPS |
|
|
Face Detection (Q)
|
96% |
3840
45.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3393
26.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1289
9.93 IPS |
|
|
Depth Estimation (Q)
|
78% |
5476
43.7 IPS |
|
|
Style Transfer (SP)
|
100% |
6788
8.73 IPS |
|
|
Style Transfer (HP)
|
100% |
5726
7.36 IPS |
|
|
Style Transfer (Q)
|
87% |
7308
9.51 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1330
49.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1234
45.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1807
67.0 IPS |
|
|
Text Classification (SP)
|
100% |
1044
1.39 KIPS |
|
|
Text Classification (HP)
|
100% |
546
728.9 IPS |
|
|
Text Classification (Q)
|
97% |
352
472.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1083
18.7 IPS |
|
|
Machine Translation (HP)
|
100% |
439
7.57 IPS |
|
|
Machine Translation (Q)
|
68% |
1362
26.3 IPS |
