Lenovo Legion Y545 (Legion) LENOVO 81Q6
Geekbench AI Score
1783
Single Precision Score
830
Half Precision Score
2252
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | noderaser |
| Upload Date | December 12 2024 06:29 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-9750H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | LENOVO 81Q6 |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-9750H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 2.59 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1322
245.8 IPS |
|
|
Image Classification (HP)
|
100% |
301
55.9 IPS |
|
|
Image Classification (Q)
|
96% |
2256
421.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
777
12.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
489
7.93 IPS |
|
|
Image Segmentation (Q)
|
97% |
1226
19.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2835
3.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
2327
2.72 IPS |
|
|
Pose Estimation (Q)
|
86% |
5738
6.78 IPS |
|
|
Object Detection (SP)
|
100% |
1317
104.5 IPS |
|
|
Object Detection (HP)
|
100% |
380
30.1 IPS |
|
|
Object Detection (Q)
|
58% |
1381
150.8 IPS |
|
|
Face Detection (SP)
|
100% |
2411
28.6 IPS |
|
|
Face Detection (HP)
|
100% |
810
9.62 IPS |
|
|
Face Detection (Q)
|
96% |
4004
47.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3445
26.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1124
8.66 IPS |
|
|
Depth Estimation (Q)
|
78% |
5406
43.1 IPS |
|
|
Style Transfer (SP)
|
100% |
7035
9.04 IPS |
|
|
Style Transfer (HP)
|
100% |
5100
6.56 IPS |
|
|
Style Transfer (Q)
|
87% |
9039
11.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1220
45.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1136
41.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1789
66.3 IPS |
|
|
Text Classification (SP)
|
100% |
1002
1.34 KIPS |
|
|
Text Classification (HP)
|
100% |
484
646.4 IPS |
|
|
Text Classification (Q)
|
97% |
324
434.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1186
20.4 IPS |
|
|
Machine Translation (HP)
|
100% |
470
8.09 IPS |
|
|
Machine Translation (Q)
|
68% |
1353
26.1 IPS |
