LENOVO 80X7
Geekbench AI Score
1823
Single Precision Score
1814
Half Precision Score
2764
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | November 24 2025 01:39 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-7700HQ CPU @ 2.80GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | LENOVO 80X7 |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Ultimate Performance |
| 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% |
1095
203.5 IPS |
|
|
Image Classification (HP)
|
100% |
1107
205.8 IPS |
|
|
Image Classification (Q)
|
100% |
1699
315.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
802
13.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
758
12.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
1857
30.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2291
2.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
2248
2.62 IPS |
|
|
Pose Estimation (Q)
|
94% |
4238
4.97 IPS |
|
|
Object Detection (SP)
|
100% |
1099
87.2 IPS |
|
|
Object Detection (HP)
|
100% |
1108
87.9 IPS |
|
|
Object Detection (Q)
|
87% |
1785
143.1 IPS |
|
|
Face Detection (SP)
|
100% |
2405
28.6 IPS |
|
|
Face Detection (HP)
|
100% |
2406
28.6 IPS |
|
|
Face Detection (Q)
|
97% |
4577
54.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2985
23.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2988
23.0 IPS |
|
|
Depth Estimation (Q)
|
81% |
4758
37.5 IPS |
|
|
Style Transfer (SP)
|
100% |
6660
8.56 IPS |
|
|
Style Transfer (HP)
|
100% |
6652
8.55 IPS |
|
|
Style Transfer (Q)
|
98% |
11951
15.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1368
50.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1370
50.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2490
92.2 IPS |
|
|
Text Classification (SP)
|
100% |
1366
1.82 KIPS |
|
|
Text Classification (HP)
|
100% |
1378
1.84 KIPS |
|
|
Text Classification (Q)
|
91% |
822
1.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
2058
35.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2049
35.3 IPS |
|
|
Machine Translation (Q)
|
100% |
2054
35.4 IPS |
