LENOVO 80Q7
Geekbench AI Score
441
Single Precision Score
304
Half Precision Score
381
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | andreadandrea |
| Upload Date | October 19 2025 05:48 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) HD Graphics 520 |
| 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% |
245
45.6 IPS |
|
|
Image Classification (HP)
|
100% |
145
27.0 IPS |
|
|
Image Classification (Q)
|
100% |
230
42.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
352
5.71 IPS |
|
|
Image Segmentation (HP)
|
100% |
227
3.67 IPS |
|
|
Image Segmentation (Q)
|
98% |
298
4.84 IPS |
|
|
Pose Estimation (SP)
|
100% |
823
0.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
486
0.57 IPS |
|
|
Pose Estimation (Q)
|
97% |
781
0.91 IPS |
|
|
Object Detection (SP)
|
100% |
265
21.0 IPS |
|
|
Object Detection (HP)
|
100% |
167
13.2 IPS |
|
|
Object Detection (Q)
|
86% |
243
19.6 IPS |
|
|
Face Detection (SP)
|
100% |
587
6.97 IPS |
|
|
Face Detection (HP)
|
100% |
406
4.82 IPS |
|
|
Face Detection (Q)
|
97% |
496
5.91 IPS |
|
|
Depth Estimation (SP)
|
100% |
839
6.46 IPS |
|
|
Depth Estimation (HP)
|
99% |
539
4.16 IPS |
|
|
Depth Estimation (Q)
|
77% |
738
5.90 IPS |
|
|
Style Transfer (SP)
|
100% |
1659
2.13 IPS |
|
|
Style Transfer (HP)
|
100% |
1216
1.56 IPS |
|
|
Style Transfer (Q)
|
98% |
1542
1.99 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
453
16.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
282
10.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
387
14.3 IPS |
|
|
Text Classification (SP)
|
100% |
148
198.1 IPS |
|
|
Text Classification (HP)
|
100% |
150
200.5 IPS |
|
|
Text Classification (Q)
|
97% |
135
181.4 IPS |
|
|
Machine Translation (SP)
|
100% |
271
4.66 IPS |
|
|
Machine Translation (HP)
|
96% |
226
3.91 IPS |
|
|
Machine Translation (Q)
|
70% |
172
3.23 IPS |
