LENOVO 80Q0
Geekbench AI Score
1748
Single Precision Score
1772
Half Precision Score
2683
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | jakelewis3d |
| Upload Date | December 16 2024 07:09 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-6700HQ CPU @ 2.60GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | LENOVO 80Q0 |
| Motherboard | LENOVO Allsparks 7A |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-6700HQ |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 94 Stepping 3 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1042
193.8 IPS |
|
|
Image Classification (HP)
|
100% |
1071
199.1 IPS |
|
|
Image Classification (Q)
|
100% |
1665
309.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1060
17.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1059
17.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2008
32.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2244
2.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
2144
2.50 IPS |
|
|
Pose Estimation (Q)
|
94% |
3977
4.67 IPS |
|
|
Object Detection (SP)
|
100% |
976
77.4 IPS |
|
|
Object Detection (HP)
|
100% |
1030
81.7 IPS |
|
|
Object Detection (Q)
|
87% |
1716
137.6 IPS |
|
|
Face Detection (SP)
|
100% |
2111
25.1 IPS |
|
|
Face Detection (HP)
|
100% |
2289
27.2 IPS |
|
|
Face Detection (Q)
|
97% |
4355
51.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2776
21.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2781
21.4 IPS |
|
|
Depth Estimation (Q)
|
81% |
4305
34.0 IPS |
|
|
Style Transfer (SP)
|
100% |
6191
7.96 IPS |
|
|
Style Transfer (HP)
|
100% |
6359
8.18 IPS |
|
|
Style Transfer (Q)
|
98% |
11116
14.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1267
46.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1266
46.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2359
87.4 IPS |
|
|
Text Classification (SP)
|
100% |
1457
1.94 KIPS |
|
|
Text Classification (HP)
|
100% |
1462
1.95 KIPS |
|
|
Text Classification (Q)
|
91% |
996
1.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
1644
28.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1632
28.1 IPS |
|
|
Machine Translation (Q)
|
100% |
1733
29.8 IPS |
