LENOVO 80WW
Geekbench AI Score
2020
Single Precision Score
2032
Half Precision Score
2979
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | kitsunechan_2525 |
| Upload Date | June 06 2025 01:31 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-7300HQ CPU @ 2.50GHz |
| 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% |
1199
223.0 IPS |
|
|
Image Classification (HP)
|
100% |
1199
222.9 IPS |
|
|
Image Classification (Q)
|
100% |
1879
349.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1246
20.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1260
20.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2066
33.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2467
2.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
2478
2.89 IPS |
|
|
Pose Estimation (Q)
|
94% |
4637
5.44 IPS |
|
|
Object Detection (SP)
|
100% |
1158
91.8 IPS |
|
|
Object Detection (HP)
|
100% |
1162
92.2 IPS |
|
|
Object Detection (Q)
|
87% |
1918
153.9 IPS |
|
|
Face Detection (SP)
|
100% |
2567
30.5 IPS |
|
|
Face Detection (HP)
|
100% |
2629
31.2 IPS |
|
|
Face Detection (Q)
|
97% |
4827
57.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3121
24.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3143
24.2 IPS |
|
|
Depth Estimation (Q)
|
81% |
5188
40.9 IPS |
|
|
Style Transfer (SP)
|
100% |
7040
9.05 IPS |
|
|
Style Transfer (HP)
|
100% |
7051
9.06 IPS |
|
|
Style Transfer (Q)
|
98% |
13040
16.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1508
55.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1502
55.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2688
99.6 IPS |
|
|
Text Classification (SP)
|
100% |
1472
1.97 KIPS |
|
|
Text Classification (HP)
|
100% |
1456
1.94 KIPS |
|
|
Text Classification (Q)
|
91% |
849
1.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
2126
36.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2168
37.3 IPS |
|
|
Machine Translation (Q)
|
100% |
2142
36.9 IPS |
