LENOVO 80Q7
Geekbench AI Score
763
Single Precision Score
449
Half Precision Score
923
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | andreadandrea |
| Upload Date | October 19 2025 05:01 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-6500U |
| 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% |
409
76.1 IPS |
|
|
Image Classification (HP)
|
100% |
181
33.7 IPS |
|
|
Image Classification (Q)
|
96% |
646
120.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
308
4.99 IPS |
|
|
Image Segmentation (HP)
|
100% |
316
5.12 IPS |
|
|
Image Segmentation (Q)
|
97% |
681
11.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1192
1.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
825
0.96 IPS |
|
|
Pose Estimation (Q)
|
86% |
1647
1.95 IPS |
|
|
Object Detection (SP)
|
100% |
518
41.1 IPS |
|
|
Object Detection (HP)
|
100% |
237
18.8 IPS |
|
|
Object Detection (Q)
|
58% |
468
51.1 IPS |
|
|
Face Detection (SP)
|
100% |
1263
15.0 IPS |
|
|
Face Detection (HP)
|
100% |
515
6.12 IPS |
|
|
Face Detection (Q)
|
96% |
1572
18.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1285
9.90 IPS |
|
|
Depth Estimation (HP)
|
99% |
631
4.86 IPS |
|
|
Depth Estimation (Q)
|
78% |
1694
13.5 IPS |
|
|
Style Transfer (SP)
|
100% |
2436
3.13 IPS |
|
|
Style Transfer (HP)
|
100% |
1856
2.39 IPS |
|
|
Style Transfer (Q)
|
87% |
3259
4.24 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
521
19.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
449
16.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
888
32.9 IPS |
|
|
Text Classification (SP)
|
100% |
576
768.6 IPS |
|
|
Text Classification (HP)
|
100% |
338
451.7 IPS |
|
|
Text Classification (Q)
|
97% |
224
300.2 IPS |
|
|
Machine Translation (SP)
|
100% |
730
12.6 IPS |
|
|
Machine Translation (HP)
|
100% |
329
5.67 IPS |
|
|
Machine Translation (Q)
|
68% |
774
15.0 IPS |
