LENOVO t14 i7 20W00154US LENOVO 20W00154US
Geekbench AI Score
3537
Single Precision Score
5345
Half Precision Score
8387
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | chuk |
| Upload Date | September 08 2025 08:45 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Iris(R) Xe Graphics (iGPU) |
| 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% |
2075
385.8 IPS |
|
|
Image Classification (HP)
|
100% |
3489
648.9 IPS |
|
|
Image Classification (Q)
|
99% |
4721
880.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2790
45.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
5356
86.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
6273
101.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9402
11.0 IPS |
|
|
Pose Estimation (HP)
|
99% |
7349
8.57 IPS |
|
|
Pose Estimation (Q)
|
97% |
30435
35.6 IPS |
|
|
Object Detection (SP)
|
100% |
2335
185.3 IPS |
|
|
Object Detection (HP)
|
100% |
3356
266.2 IPS |
|
|
Object Detection (Q)
|
90% |
5235
418.6 IPS |
|
|
Face Detection (SP)
|
100% |
3610
42.9 IPS |
|
|
Face Detection (HP)
|
100% |
7848
93.3 IPS |
|
|
Face Detection (Q)
|
100% |
12897
153.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7820
60.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
13239
102.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
17652
137.3 IPS |
|
|
Style Transfer (SP)
|
100% |
22321
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
31307
40.2 IPS |
|
|
Style Transfer (Q)
|
98% |
65947
85.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3790
139.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6263
231.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11567
428.4 IPS |
|
|
Text Classification (SP)
|
71% |
982
1.42 KIPS |
|
|
Text Classification (HP)
|
71% |
1109
1.60 KIPS |
|
|
Text Classification (Q)
|
92% |
1157
1.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
1029
17.7 IPS |
|
|
Machine Translation (HP)
|
98% |
1831
31.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1817
31.4 IPS |
