LENOVO 20W1S4F60H
Geekbench AI Score
1256
Single Precision Score
1239
Half Precision Score
731
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | mariuszwn |
| Upload Date | November 19 2025 11:22 PM |
| Views | 3 |
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% |
948
176.3 IPS |
|
|
Image Classification (HP)
|
100% |
949
176.6 IPS |
|
|
Image Classification (Q)
|
99% |
392
73.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1126
18.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1127
18.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
554
9.00 IPS |
|
|
Pose Estimation (SP)
|
100% |
1441
1.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
1257
1.47 IPS |
|
|
Pose Estimation (Q)
|
96% |
1038
1.22 IPS |
|
|
Object Detection (SP)
|
100% |
953
75.6 IPS |
|
|
Object Detection (HP)
|
100% |
946
75.1 IPS |
|
|
Object Detection (Q)
|
85% |
519
41.8 IPS |
|
|
Face Detection (SP)
|
100% |
1565
18.6 IPS |
|
|
Face Detection (HP)
|
100% |
1561
18.6 IPS |
|
|
Face Detection (Q)
|
97% |
1200
14.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1487
11.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1480
11.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
982
9.20 IPS |
|
|
Style Transfer (SP)
|
100% |
1812
2.33 IPS |
|
|
Style Transfer (HP)
|
100% |
1821
2.34 IPS |
|
|
Style Transfer (Q)
|
98% |
2529
3.26 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
929
34.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
925
34.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
698
25.9 IPS |
|
|
Text Classification (SP)
|
100% |
1206
1.61 KIPS |
|
|
Text Classification (HP)
|
100% |
1199
1.60 KIPS |
|
|
Text Classification (Q)
|
92% |
455
611.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1411
24.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1446
24.9 IPS |
|
|
Machine Translation (Q)
|
58% |
395
9.29 IPS |
