LENOVO 81CN
Geekbench AI Score
851
Single Precision Score
1008
Half Precision Score
659
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | gbdora |
| Upload Date | August 16 2024 10:15 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 620 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | LENOVO 81CN |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core i5-8250U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 10 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 12.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
350
65.1 IPS |
|
|
Image Classification (HP)
|
100% |
397
73.8 IPS |
|
|
Image Classification (Q)
|
100% |
338
62.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
532
8.63 IPS |
|
|
Image Segmentation (HP)
|
100% |
643
10.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
439
7.13 IPS |
|
|
Pose Estimation (SP)
|
100% |
2127
2.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
3485
4.07 IPS |
|
|
Pose Estimation (Q)
|
97% |
1856
2.17 IPS |
|
|
Object Detection (SP)
|
100% |
423
33.6 IPS |
|
|
Object Detection (HP)
|
98% |
434
34.6 IPS |
|
|
Object Detection (Q)
|
89% |
380
30.4 IPS |
|
|
Face Detection (SP)
|
100% |
687
8.16 IPS |
|
|
Face Detection (HP)
|
100% |
858
10.2 IPS |
|
|
Face Detection (Q)
|
97% |
548
6.53 IPS |
|
|
Depth Estimation (SP)
|
100% |
1567
12.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1956
15.1 IPS |
|
|
Depth Estimation (Q)
|
76% |
1306
10.5 IPS |
|
|
Style Transfer (SP)
|
100% |
5601
7.20 IPS |
|
|
Style Transfer (HP)
|
100% |
8455
10.9 IPS |
|
|
Style Transfer (Q)
|
98% |
4613
5.95 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1115
41.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1590
58.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
828
30.7 IPS |
|
|
Text Classification (SP)
|
100% |
423
564.9 IPS |
|
|
Text Classification (HP)
|
100% |
282
376.1 IPS |
|
|
Text Classification (Q)
|
97% |
263
351.6 IPS |
|
|
Machine Translation (SP)
|
100% |
420
7.23 IPS |
|
|
Machine Translation (HP)
|
100% |
442
7.61 IPS |
|
|
Machine Translation (Q)
|
60% |
208
4.64 IPS |
