LENOVO 80WK
Geekbench AI Score
1063
Single Precision Score
1707
Half Precision Score
1609
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | paisarn |
| Upload Date | July 23 2025 05:47 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) HD Graphics 630 (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | LENOVO 80WK |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-7300HQ |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 9 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
728
135.4 IPS |
|
|
Image Classification (HP)
|
100% |
1146
213.1 IPS |
|
|
Image Classification (Q)
|
100% |
1038
193.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
738
12.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1418
23.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
1324
21.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1683
1.96 IPS |
|
|
Pose Estimation (HP)
|
99% |
1814
2.12 IPS |
|
|
Pose Estimation (Q)
|
97% |
2381
2.79 IPS |
|
|
Object Detection (SP)
|
100% |
660
52.4 IPS |
|
|
Object Detection (HP)
|
99% |
1141
90.8 IPS |
|
|
Object Detection (Q)
|
88% |
1067
85.6 IPS |
|
|
Face Detection (SP)
|
100% |
1476
17.5 IPS |
|
|
Face Detection (HP)
|
100% |
2810
33.4 IPS |
|
|
Face Detection (Q)
|
97% |
2577
30.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2041
15.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
3581
27.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
3264
25.4 IPS |
|
|
Style Transfer (SP)
|
100% |
4663
5.99 IPS |
|
|
Style Transfer (HP)
|
100% |
6463
8.31 IPS |
|
|
Style Transfer (Q)
|
98% |
5844
7.54 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
837
30.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1536
56.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1441
53.4 IPS |
|
|
Text Classification (SP)
|
71% |
512
741.1 IPS |
|
|
Text Classification (HP)
|
71% |
625
904.7 IPS |
|
|
Text Classification (Q)
|
92% |
469
630.1 IPS |
|
|
Machine Translation (SP)
|
100% |
516
8.88 IPS |
|
|
Machine Translation (HP)
|
99% |
1005
17.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1004
17.4 IPS |
