LENOVO 80Q7
Geekbench AI Score
969
Single Precision Score
957
Half Precision Score
1323
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | andreadandrea |
| Upload Date | October 19 2025 05:24 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-6500U CPU @ 2.50GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | LENOVO 80Q7 |
| Motherboard | LENOVO Paris 5A8 |
| Power Plan | Bilanciato |
| CPU Information | |
|---|---|
| Name | Intel Core i7-6500U |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 78 Stepping 3 |
| Base Frequency | 2.59 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
631
117.4 IPS |
|
|
Image Classification (HP)
|
100% |
628
116.8 IPS |
|
|
Image Classification (Q)
|
100% |
964
179.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
687
11.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
690
11.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
1074
17.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1238
1.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
1152
1.34 IPS |
|
|
Pose Estimation (Q)
|
94% |
2231
2.62 IPS |
|
|
Object Detection (SP)
|
100% |
525
41.6 IPS |
|
|
Object Detection (HP)
|
100% |
518
41.1 IPS |
|
|
Object Detection (Q)
|
87% |
843
67.6 IPS |
|
|
Face Detection (SP)
|
100% |
1358
16.1 IPS |
|
|
Face Detection (HP)
|
100% |
1366
16.2 IPS |
|
|
Face Detection (Q)
|
97% |
2125
25.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1367
10.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1357
10.5 IPS |
|
|
Depth Estimation (Q)
|
81% |
2192
17.3 IPS |
|
|
Style Transfer (SP)
|
100% |
2974
3.82 IPS |
|
|
Style Transfer (HP)
|
100% |
2986
3.84 IPS |
|
|
Style Transfer (Q)
|
98% |
5237
6.75 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
627
23.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
625
23.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1098
40.7 IPS |
|
|
Text Classification (SP)
|
100% |
696
929.5 IPS |
|
|
Text Classification (HP)
|
100% |
688
918.1 IPS |
|
|
Text Classification (Q)
|
91% |
296
397.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1078
18.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1048
18.1 IPS |
|
|
Machine Translation (Q)
|
100% |
1066
18.4 IPS |
