LENOVO 80WK
Geekbench AI Score
1689
Single Precision Score
1686
Half Precision Score
2623
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | paisarn |
| Upload Date | July 23 2025 05:38 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-7300HQ CPU @ 2.50GHz |
| 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% |
1054
196.0 IPS |
|
|
Image Classification (HP)
|
100% |
1045
194.3 IPS |
|
|
Image Classification (Q)
|
100% |
1731
321.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
881
14.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
907
14.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
1849
30.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2376
2.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
2268
2.65 IPS |
|
|
Pose Estimation (Q)
|
94% |
4441
5.21 IPS |
|
|
Object Detection (SP)
|
100% |
983
78.0 IPS |
|
|
Object Detection (HP)
|
100% |
993
78.8 IPS |
|
|
Object Detection (Q)
|
87% |
1816
145.7 IPS |
|
|
Face Detection (SP)
|
100% |
1678
19.9 IPS |
|
|
Face Detection (HP)
|
100% |
1667
19.8 IPS |
|
|
Face Detection (Q)
|
97% |
4340
51.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2778
21.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2777
21.4 IPS |
|
|
Depth Estimation (Q)
|
81% |
4857
38.3 IPS |
|
|
Style Transfer (SP)
|
100% |
6471
8.32 IPS |
|
|
Style Transfer (HP)
|
100% |
6498
8.35 IPS |
|
|
Style Transfer (Q)
|
98% |
12424
16.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1339
49.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1340
49.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2552
94.5 IPS |
|
|
Text Classification (SP)
|
100% |
1426
1.90 KIPS |
|
|
Text Classification (HP)
|
100% |
1410
1.88 KIPS |
|
|
Text Classification (Q)
|
91% |
577
776.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1519
26.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1538
26.5 IPS |
|
|
Machine Translation (Q)
|
100% |
1553
26.7 IPS |
