LENOVO 20NB001AGE
Geekbench AI Score
962
Single Precision Score
494
Half Precision Score
1149
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 19 2024 10:05 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-8265U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | LENOVO 20NB001AGE |
| Motherboard | LENOVO 20NB001AGE |
| CPU Information | |
|---|---|
| Name | Intel Core i5-8265U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 12 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
553
102.9 IPS |
|
|
Image Classification (HP)
|
100% |
184
34.2 IPS |
|
|
Image Classification (Q)
|
96% |
955
178.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
516
8.37 IPS |
|
|
Image Segmentation (HP)
|
100% |
345
5.60 IPS |
|
|
Image Segmentation (Q)
|
97% |
763
12.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1424
1.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
1124
1.31 IPS |
|
|
Pose Estimation (Q)
|
87% |
2783
3.29 IPS |
|
|
Object Detection (SP)
|
100% |
533
42.3 IPS |
|
|
Object Detection (HP)
|
100% |
233
18.5 IPS |
|
|
Object Detection (Q)
|
86% |
659
53.0 IPS |
|
|
Face Detection (SP)
|
100% |
1051
12.5 IPS |
|
|
Face Detection (HP)
|
100% |
578
6.87 IPS |
|
|
Face Detection (Q)
|
96% |
1666
19.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1808
13.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
577
4.45 IPS |
|
|
Depth Estimation (Q)
|
77% |
1463
11.7 IPS |
|
|
Style Transfer (SP)
|
100% |
3425
4.40 IPS |
|
|
Style Transfer (HP)
|
100% |
2803
3.60 IPS |
|
|
Style Transfer (Q)
|
87% |
5181
6.74 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
718
26.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
580
21.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1074
39.8 IPS |
|
|
Text Classification (SP)
|
100% |
750
1.00 KIPS |
|
|
Text Classification (HP)
|
100% |
328
438.0 IPS |
|
|
Text Classification (Q)
|
97% |
270
361.0 IPS |
|
|
Machine Translation (SP)
|
100% |
903
15.5 IPS |
|
|
Machine Translation (HP)
|
100% |
294
5.07 IPS |
|
|
Machine Translation (Q)
|
60% |
821
18.3 IPS |
