LENOVO 20RH001FGE
Geekbench AI Score
964
Single Precision Score
1126
Half Precision Score
785
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | bormolino |
| Upload Date | January 11 2025 07:47 PM |
| Views | 68 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 620 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | LENOVO 20RH001FGE |
| Motherboard | LENOVO 20RH001FGE |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core i7-8565U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 12 |
| Base Frequency | 1.99 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
411
76.5 IPS |
|
|
Image Classification (HP)
|
100% |
472
87.7 IPS |
|
|
Image Classification (Q)
|
100% |
424
78.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
596
9.67 IPS |
|
|
Image Segmentation (HP)
|
100% |
702
11.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
503
8.18 IPS |
|
|
Pose Estimation (SP)
|
100% |
2349
2.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
3741
4.36 IPS |
|
|
Pose Estimation (Q)
|
97% |
2133
2.50 IPS |
|
|
Object Detection (SP)
|
100% |
496
39.4 IPS |
|
|
Object Detection (HP)
|
98% |
497
39.5 IPS |
|
|
Object Detection (Q)
|
86% |
451
36.2 IPS |
|
|
Face Detection (SP)
|
100% |
878
10.4 IPS |
|
|
Face Detection (HP)
|
100% |
1106
13.1 IPS |
|
|
Face Detection (Q)
|
97% |
763
9.10 IPS |
|
|
Depth Estimation (SP)
|
100% |
1744
13.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
2192
16.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
1491
11.9 IPS |
|
|
Style Transfer (SP)
|
100% |
6034
7.76 IPS |
|
|
Style Transfer (HP)
|
100% |
9039
11.6 IPS |
|
|
Style Transfer (Q)
|
98% |
5044
6.50 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1159
42.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1623
59.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
912
33.8 IPS |
|
|
Text Classification (SP)
|
100% |
485
647.6 IPS |
|
|
Text Classification (HP)
|
100% |
309
412.0 IPS |
|
|
Text Classification (Q)
|
97% |
302
405.0 IPS |
|
|
Machine Translation (SP)
|
100% |
469
8.07 IPS |
|
|
Machine Translation (HP)
|
100% |
485
8.35 IPS |
|
|
Machine Translation (Q)
|
70% |
277
5.20 IPS |
