LENOVO 80WW
Geekbench AI Score
1214
Single Precision Score
1813
Half Precision Score
1711
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | kitsunechan_2525 |
| Upload Date | June 06 2025 01:38 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) HD Graphics 630 (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | LENOVO 80WW |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
770
143.2 IPS |
|
|
Image Classification (HP)
|
100% |
1217
226.3 IPS |
|
|
Image Classification (Q)
|
100% |
1110
206.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1012
16.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1619
26.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
1478
24.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1751
2.04 IPS |
|
|
Pose Estimation (HP)
|
99% |
1862
2.18 IPS |
|
|
Pose Estimation (Q)
|
97% |
2496
2.92 IPS |
|
|
Object Detection (SP)
|
100% |
711
56.4 IPS |
|
|
Object Detection (HP)
|
99% |
1205
95.8 IPS |
|
|
Object Detection (Q)
|
88% |
1132
90.8 IPS |
|
|
Face Detection (SP)
|
100% |
2228
26.5 IPS |
|
|
Face Detection (HP)
|
100% |
3689
43.8 IPS |
|
|
Face Detection (Q)
|
97% |
3200
38.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2179
16.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
3776
29.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
3415
26.6 IPS |
|
|
Style Transfer (SP)
|
100% |
4941
6.35 IPS |
|
|
Style Transfer (HP)
|
100% |
6778
8.71 IPS |
|
|
Style Transfer (Q)
|
98% |
6112
7.88 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
895
33.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1616
59.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1551
57.4 IPS |
|
|
Text Classification (SP)
|
71% |
516
746.1 IPS |
|
|
Text Classification (HP)
|
71% |
624
903.3 IPS |
|
|
Text Classification (Q)
|
92% |
491
658.9 IPS |
|
|
Machine Translation (SP)
|
100% |
651
11.2 IPS |
|
|
Machine Translation (HP)
|
97% |
916
15.8 IPS |
|
|
Machine Translation (Q)
|
98% |
917
15.9 IPS |
