LENOVO 20NX000EMC
Geekbench AI Score
1494
Single Precision Score
469
Half Precision Score
2122
Quantized Score
Geekbench AI 1.4.0 for Linux AVX2
Result Information
| User | SiggiTron |
| Upload Date | September 02 2025 04:46 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-8565U |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.3 LTS |
| Model | LENOVO 20NX000EMC |
| Motherboard | LENOVO 20NX000EMC |
| CPU Information | |
|---|---|
| Name | Intel Core i7-8565U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 12 |
| Base Frequency | 4.60 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 15.31 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1069
198.7 IPS |
|
|
Image Classification (HP)
|
100% |
143
26.6 IPS |
|
|
Image Classification (Q)
|
94% |
1977
369.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
762
12.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
204
3.31 IPS |
|
|
Image Segmentation (Q)
|
98% |
1272
20.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2408
2.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
1741
2.03 IPS |
|
|
Pose Estimation (Q)
|
86% |
3681
4.35 IPS |
|
|
Object Detection (SP)
|
100% |
889
70.5 IPS |
|
|
Object Detection (HP)
|
100% |
154
12.2 IPS |
|
|
Object Detection (Q)
|
58% |
1214
132.6 IPS |
|
|
Face Detection (SP)
|
100% |
1400
16.6 IPS |
|
|
Face Detection (HP)
|
100% |
248
2.95 IPS |
|
|
Face Detection (Q)
|
96% |
3804
45.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2583
19.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
628
4.83 IPS |
|
|
Depth Estimation (Q)
|
78% |
3804
30.4 IPS |
|
|
Style Transfer (SP)
|
100% |
5451
7.01 IPS |
|
|
Style Transfer (HP)
|
100% |
4109
5.28 IPS |
|
|
Style Transfer (Q)
|
87% |
6510
8.47 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1019
37.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
871
32.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1382
51.2 IPS |
|
|
Text Classification (SP)
|
100% |
1124
1.50 KIPS |
|
|
Text Classification (HP)
|
100% |
366
489.1 IPS |
|
|
Text Classification (Q)
|
97% |
919
1.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
1412
24.3 IPS |
|
|
Machine Translation (HP)
|
100% |
326
5.62 IPS |
|
|
Machine Translation (Q)
|
68% |
1380
26.7 IPS |
