LENOVO 80WK
Geekbench AI Score
1312
Single Precision Score
698
Half Precision Score
1731
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | paisarn |
| Upload Date | July 23 2025 05:30 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-7300HQ |
| 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% |
904
168.1 IPS |
|
|
Image Classification (HP)
|
100% |
260
48.4 IPS |
|
|
Image Classification (Q)
|
96% |
1526
285.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
515
8.35 IPS |
|
|
Image Segmentation (HP)
|
100% |
377
6.11 IPS |
|
|
Image Segmentation (Q)
|
97% |
1285
20.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1962
2.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
1693
1.97 IPS |
|
|
Pose Estimation (Q)
|
86% |
3453
4.08 IPS |
|
|
Object Detection (SP)
|
100% |
955
75.7 IPS |
|
|
Object Detection (HP)
|
100% |
336
26.7 IPS |
|
|
Object Detection (Q)
|
58% |
1055
115.3 IPS |
|
|
Face Detection (SP)
|
100% |
1365
16.2 IPS |
|
|
Face Detection (HP)
|
100% |
639
7.59 IPS |
|
|
Face Detection (Q)
|
96% |
2855
34.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2650
20.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1035
7.97 IPS |
|
|
Depth Estimation (Q)
|
78% |
3822
30.5 IPS |
|
|
Style Transfer (SP)
|
100% |
5111
6.57 IPS |
|
|
Style Transfer (HP)
|
100% |
4251
5.46 IPS |
|
|
Style Transfer (Q)
|
87% |
5534
7.20 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
997
36.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
870
32.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1848
68.5 IPS |
|
|
Text Classification (SP)
|
100% |
1025
1.37 KIPS |
|
|
Text Classification (HP)
|
100% |
528
705.2 IPS |
|
|
Text Classification (Q)
|
97% |
302
405.2 IPS |
|
|
Machine Translation (SP)
|
100% |
922
15.9 IPS |
|
|
Machine Translation (HP)
|
100% |
386
6.64 IPS |
|
|
Machine Translation (Q)
|
68% |
1006
19.4 IPS |
