LENOVO 80Q7
Geekbench AI Score
594
Single Precision Score
656
Half Precision Score
460
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | andreadandrea |
| Upload Date | October 19 2025 06:57 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon (TM) R5 M330 |
| 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% |
217
40.4 IPS |
|
|
Image Classification (HP)
|
100% |
253
47.0 IPS |
|
|
Image Classification (Q)
|
100% |
200
37.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
313
5.07 IPS |
|
|
Image Segmentation (HP)
|
100% |
362
5.88 IPS |
|
|
Image Segmentation (Q)
|
98% |
269
4.37 IPS |
|
|
Pose Estimation (SP)
|
100% |
1866
2.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
1913
2.23 IPS |
|
|
Pose Estimation (Q)
|
96% |
1673
1.96 IPS |
|
|
Object Detection (SP)
|
100% |
274
21.7 IPS |
|
|
Object Detection (HP)
|
100% |
321
25.4 IPS |
|
|
Object Detection (Q)
|
86% |
248
20.0 IPS |
|
|
Face Detection (SP)
|
100% |
489
5.81 IPS |
|
|
Face Detection (HP)
|
100% |
586
6.96 IPS |
|
|
Face Detection (Q)
|
97% |
441
5.26 IPS |
|
|
Depth Estimation (SP)
|
100% |
1050
8.09 IPS |
|
|
Depth Estimation (HP)
|
99% |
1166
9.01 IPS |
|
|
Depth Estimation (Q)
|
78% |
894
7.14 IPS |
|
|
Style Transfer (SP)
|
100% |
3437
4.42 IPS |
|
|
Style Transfer (HP)
|
100% |
3531
4.54 IPS |
|
|
Style Transfer (Q)
|
98% |
2936
3.79 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
818
30.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
914
33.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
586
21.7 IPS |
|
|
Text Classification (SP)
|
100% |
270
360.4 IPS |
|
|
Text Classification (HP)
|
100% |
265
353.9 IPS |
|
|
Text Classification (Q)
|
97% |
152
203.2 IPS |
|
|
Machine Translation (SP)
|
100% |
408
7.02 IPS |
|
|
Machine Translation (HP)
|
96% |
452
7.81 IPS |
|
|
Machine Translation (Q)
|
70% |
188
3.52 IPS |
