LENOVO 80Q0
Geekbench AI Score
1113
Single Precision Score
589
Half Precision Score
1394
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | jakelewis3d |
| Upload Date | December 16 2024 06:37 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-6700HQ |
| 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% |
795
147.9 IPS |
|
|
Image Classification (HP)
|
100% |
251
46.6 IPS |
|
|
Image Classification (Q)
|
96% |
1170
218.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
443
7.18 IPS |
|
|
Image Segmentation (HP)
|
100% |
312
5.06 IPS |
|
|
Image Segmentation (Q)
|
97% |
680
11.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1558
1.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
1288
1.50 IPS |
|
|
Pose Estimation (Q)
|
86% |
2862
3.38 IPS |
|
|
Object Detection (SP)
|
100% |
714
56.6 IPS |
|
|
Object Detection (HP)
|
100% |
278
22.1 IPS |
|
|
Object Detection (Q)
|
58% |
788
86.1 IPS |
|
|
Face Detection (SP)
|
100% |
1633
19.4 IPS |
|
|
Face Detection (HP)
|
100% |
610
7.25 IPS |
|
|
Face Detection (Q)
|
96% |
2357
28.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1877
14.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
874
6.73 IPS |
|
|
Depth Estimation (Q)
|
78% |
3277
26.1 IPS |
|
|
Style Transfer (SP)
|
100% |
4188
5.38 IPS |
|
|
Style Transfer (HP)
|
100% |
3274
4.21 IPS |
|
|
Style Transfer (Q)
|
87% |
5872
7.64 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
857
31.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
705
26.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1197
44.3 IPS |
|
|
Text Classification (SP)
|
100% |
765
1.02 KIPS |
|
|
Text Classification (HP)
|
100% |
408
544.3 IPS |
|
|
Text Classification (Q)
|
97% |
269
360.5 IPS |
|
|
Machine Translation (SP)
|
100% |
891
15.3 IPS |
|
|
Machine Translation (HP)
|
100% |
360
6.21 IPS |
|
|
Machine Translation (Q)
|
68% |
1059
20.5 IPS |
