LenovoLegionY720 LENOVO 80VR
Geekbench AI Score
764
Single Precision Score
920
Half Precision Score
601
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | cz1982 |
| Upload Date | November 23 2025 03:13 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) HD Graphics 630 |
| 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% |
392
72.8 IPS |
|
|
Image Classification (HP)
|
100% |
439
81.6 IPS |
|
|
Image Classification (Q)
|
100% |
363
67.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
489
7.93 IPS |
|
|
Image Segmentation (HP)
|
100% |
585
9.49 IPS |
|
|
Image Segmentation (Q)
|
98% |
416
6.76 IPS |
|
|
Pose Estimation (SP)
|
100% |
1999
2.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
3126
3.65 IPS |
|
|
Pose Estimation (Q)
|
97% |
1577
1.85 IPS |
|
|
Object Detection (SP)
|
100% |
416
33.0 IPS |
|
|
Object Detection (HP)
|
98% |
475
37.8 IPS |
|
|
Object Detection (Q)
|
86% |
374
30.1 IPS |
|
|
Face Detection (SP)
|
100% |
824
9.80 IPS |
|
|
Face Detection (HP)
|
100% |
936
11.1 IPS |
|
|
Face Detection (Q)
|
97% |
699
8.34 IPS |
|
|
Depth Estimation (SP)
|
100% |
1489
11.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
1820
14.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
1138
9.11 IPS |
|
|
Style Transfer (SP)
|
100% |
5245
6.74 IPS |
|
|
Style Transfer (HP)
|
100% |
7805
10.0 IPS |
|
|
Style Transfer (Q)
|
98% |
3971
5.12 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
915
33.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1211
44.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
641
23.7 IPS |
|
|
Text Classification (SP)
|
100% |
227
303.6 IPS |
|
|
Text Classification (HP)
|
100% |
231
308.8 IPS |
|
|
Text Classification (Q)
|
97% |
170
228.1 IPS |
|
|
Machine Translation (SP)
|
100% |
319
5.50 IPS |
|
|
Machine Translation (HP)
|
100% |
307
5.28 IPS |
|
|
Machine Translation (Q)
|
70% |
202
3.79 IPS |
