Lenovo ThinkPad T480s - i5-7300U LENOVO 20L8S0AC00
Geekbench AI Score
837
Single Precision Score
1002
Half Precision Score
650
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | paultissue |
| Upload Date | September 12 2025 06:39 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) HD Graphics 620 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 20L8S0AC00 |
| Motherboard | LENOVO 20L8S0AC00 |
| Power Plan | ChrisTitus - Ultimate Power Plan |
| CPU Information | |
|---|---|
| Name | Intel Core i5-7300U |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 9 |
| Base Frequency | 2.71 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
379
70.4 IPS |
|
|
Image Classification (HP)
|
100% |
449
83.5 IPS |
|
|
Image Classification (Q)
|
100% |
382
70.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
443
7.18 IPS |
|
|
Image Segmentation (HP)
|
100% |
577
9.36 IPS |
|
|
Image Segmentation (Q)
|
98% |
410
6.67 IPS |
|
|
Pose Estimation (SP)
|
100% |
2204
2.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
3532
4.12 IPS |
|
|
Pose Estimation (Q)
|
97% |
1938
2.27 IPS |
|
|
Object Detection (SP)
|
100% |
446
35.4 IPS |
|
|
Object Detection (HP)
|
98% |
481
38.2 IPS |
|
|
Object Detection (Q)
|
86% |
319
25.6 IPS |
|
|
Face Detection (SP)
|
100% |
711
8.45 IPS |
|
|
Face Detection (HP)
|
100% |
951
11.3 IPS |
|
|
Face Detection (Q)
|
97% |
584
6.97 IPS |
|
|
Depth Estimation (SP)
|
100% |
1485
11.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
1809
14.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
1201
9.61 IPS |
|
|
Style Transfer (SP)
|
100% |
5091
6.54 IPS |
|
|
Style Transfer (HP)
|
100% |
7628
9.81 IPS |
|
|
Style Transfer (Q)
|
98% |
4201
5.42 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1074
39.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1614
59.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
753
27.9 IPS |
|
|
Text Classification (SP)
|
100% |
415
553.9 IPS |
|
|
Text Classification (HP)
|
100% |
248
330.6 IPS |
|
|
Text Classification (Q)
|
97% |
258
345.6 IPS |
|
|
Machine Translation (SP)
|
100% |
428
7.37 IPS |
|
|
Machine Translation (HP)
|
100% |
443
7.63 IPS |
|
|
Machine Translation (Q)
|
70% |
244
4.58 IPS |
