LENOVO 20W1S4F60H
Geekbench AI Score
1247
Single Precision Score
1252
Half Precision Score
734
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | mariuszwn |
| Upload Date | November 19 2025 11:13 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i5-1135G7 |
| System Information | |
|---|---|
| Operating System | Arch Linux |
| Model | LENOVO 20W1S4F60H |
| Motherboard | LENOVO 20W1S4F60H |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1135G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 15.34 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
947
176.2 IPS |
|
|
Image Classification (HP)
|
100% |
930
172.9 IPS |
|
|
Image Classification (Q)
|
99% |
391
72.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1045
16.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1120
18.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
554
9.00 IPS |
|
|
Pose Estimation (SP)
|
100% |
1438
1.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
1411
1.65 IPS |
|
|
Pose Estimation (Q)
|
96% |
1152
1.35 IPS |
|
|
Object Detection (SP)
|
100% |
914
72.5 IPS |
|
|
Object Detection (HP)
|
100% |
908
72.0 IPS |
|
|
Object Detection (Q)
|
85% |
508
40.9 IPS |
|
|
Face Detection (SP)
|
100% |
1536
18.2 IPS |
|
|
Face Detection (HP)
|
100% |
1540
18.3 IPS |
|
|
Face Detection (Q)
|
97% |
1164
13.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1477
11.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1474
11.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
973
9.12 IPS |
|
|
Style Transfer (SP)
|
100% |
1810
2.33 IPS |
|
|
Style Transfer (HP)
|
100% |
1817
2.34 IPS |
|
|
Style Transfer (Q)
|
98% |
2539
3.27 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
983
36.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
979
36.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
692
25.6 IPS |
|
|
Text Classification (SP)
|
100% |
1197
1.60 KIPS |
|
|
Text Classification (HP)
|
100% |
1217
1.62 KIPS |
|
|
Text Classification (Q)
|
92% |
457
614.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1450
25.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1447
24.9 IPS |
|
|
Machine Translation (Q)
|
58% |
398
9.34 IPS |
