LenovoLegionY720 LENOVO 80VR
Geekbench AI Score
1290
Single Precision Score
690
Half Precision Score
1686
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | cz1982 |
| Upload Date | November 23 2025 02:52 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-7700HQ |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | LENOVO 80VR |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-7700HQ |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 9 |
| Base Frequency | 2.80 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
924
171.8 IPS |
|
|
Image Classification (HP)
|
100% |
295
54.9 IPS |
|
|
Image Classification (Q)
|
96% |
1350
252.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
477
7.74 IPS |
|
|
Image Segmentation (HP)
|
100% |
372
6.02 IPS |
|
|
Image Segmentation (Q)
|
97% |
1079
17.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1656
1.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
1380
1.61 IPS |
|
|
Pose Estimation (Q)
|
86% |
3507
4.15 IPS |
|
|
Object Detection (SP)
|
100% |
946
75.0 IPS |
|
|
Object Detection (HP)
|
100% |
343
27.2 IPS |
|
|
Object Detection (Q)
|
58% |
989
108.1 IPS |
|
|
Face Detection (SP)
|
100% |
1918
22.8 IPS |
|
|
Face Detection (HP)
|
100% |
739
8.79 IPS |
|
|
Face Detection (Q)
|
96% |
2805
33.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2306
17.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1006
7.75 IPS |
|
|
Depth Estimation (Q)
|
78% |
3627
28.9 IPS |
|
|
Style Transfer (SP)
|
100% |
4752
6.11 IPS |
|
|
Style Transfer (HP)
|
100% |
3688
4.74 IPS |
|
|
Style Transfer (Q)
|
87% |
6285
8.18 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
887
32.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
756
27.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1628
60.3 IPS |
|
|
Text Classification (SP)
|
100% |
918
1.23 KIPS |
|
|
Text Classification (HP)
|
100% |
502
670.5 IPS |
|
|
Text Classification (Q)
|
97% |
290
388.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1082
18.6 IPS |
|
|
Machine Translation (HP)
|
100% |
456
7.85 IPS |
|
|
Machine Translation (Q)
|
68% |
1223
23.6 IPS |
