LENOVO t14 i7 20W00154US LENOVO 20W00154US
Geekbench AI Score
2077
Single Precision Score
1982
Half Precision Score
5440
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | chuk |
| Upload Date | September 08 2025 08:37 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 11th Gen Intel(R) Core(TM) i7-1185G7 @ 3.00GHz |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | LENOVO 20W00154US |
| Motherboard | LENOVO 20W00154US |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1185G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1621
301.4 IPS |
|
|
Image Classification (HP)
|
100% |
1603
298.1 IPS |
|
|
Image Classification (Q)
|
100% |
4927
916.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1586
25.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1615
26.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3900
63.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2974
3.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
1918
2.24 IPS |
|
|
Pose Estimation (Q)
|
96% |
9393
11.0 IPS |
|
|
Object Detection (SP)
|
100% |
806
64.0 IPS |
|
|
Object Detection (HP)
|
100% |
818
64.9 IPS |
|
|
Object Detection (Q)
|
88% |
3174
254.4 IPS |
|
|
Face Detection (SP)
|
100% |
2036
24.2 IPS |
|
|
Face Detection (HP)
|
100% |
2064
24.5 IPS |
|
|
Face Detection (Q)
|
100% |
5355
63.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2353
18.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2359
18.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
5938
46.2 IPS |
|
|
Style Transfer (SP)
|
100% |
5353
6.88 IPS |
|
|
Style Transfer (HP)
|
100% |
5167
6.64 IPS |
|
|
Style Transfer (Q)
|
98% |
19857
25.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1580
58.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1664
61.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6413
237.5 IPS |
|
|
Text Classification (SP)
|
100% |
2015
2.69 KIPS |
|
|
Text Classification (HP)
|
100% |
1861
2.48 KIPS |
|
|
Text Classification (Q)
|
92% |
3324
4.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
2972
51.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2961
51.0 IPS |
|
|
Machine Translation (Q)
|
100% |
2948
50.8 IPS |
