Lenovo ThinkPad T480s - i5-7300U LENOVO 20L8S0AC00
Geekbench AI Score
1148
Single Precision Score
1085
Half Precision Score
1676
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | paultissue |
| Upload Date | September 12 2025 06:44 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-7300U CPU @ 2.60GHz |
| 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% |
680
126.5 IPS |
|
|
Image Classification (HP)
|
100% |
550
102.3 IPS |
|
|
Image Classification (Q)
|
100% |
1099
204.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
730
11.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
512
8.30 IPS |
|
|
Image Segmentation (Q)
|
99% |
1121
18.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1230
1.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
1146
1.34 IPS |
|
|
Pose Estimation (Q)
|
94% |
2315
2.72 IPS |
|
|
Object Detection (SP)
|
100% |
655
52.0 IPS |
|
|
Object Detection (HP)
|
100% |
656
52.0 IPS |
|
|
Object Detection (Q)
|
87% |
1141
91.5 IPS |
|
|
Face Detection (SP)
|
100% |
1640
19.5 IPS |
|
|
Face Detection (HP)
|
100% |
1671
19.9 IPS |
|
|
Face Detection (Q)
|
97% |
2865
34.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1732
13.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1667
12.8 IPS |
|
|
Depth Estimation (Q)
|
81% |
2901
22.9 IPS |
|
|
Style Transfer (SP)
|
100% |
3474
4.47 IPS |
|
|
Style Transfer (HP)
|
100% |
3699
4.75 IPS |
|
|
Style Transfer (Q)
|
98% |
7046
9.09 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
829
30.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
832
30.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1509
55.9 IPS |
|
|
Text Classification (SP)
|
100% |
910
1.21 KIPS |
|
|
Text Classification (HP)
|
100% |
929
1.24 KIPS |
|
|
Text Classification (Q)
|
91% |
451
606.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1342
23.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1349
23.2 IPS |
|
|
Machine Translation (Q)
|
100% |
1352
23.3 IPS |
