LENOVO 82SV
Geekbench AI Score
1247
Single Precision Score
1250
Half Precision Score
746
Quantized Score
Geekbench AI 1.1.0 for Linux AVX2
Result Information
| User | notz |
| Upload Date | December 28 2024 01:32 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i5-1240P |
| System Information | |
|---|---|
| Operating System | Arch Linux |
| Model | LENOVO 82SV |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1240P |
| Topology | 1 Processor, 12 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 15.35 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
838
155.9 IPS |
|
|
Image Classification (HP)
|
100% |
859
159.8 IPS |
|
|
Image Classification (Q)
|
99% |
542
101.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1144
18.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1138
18.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
522
8.50 IPS |
|
|
Pose Estimation (SP)
|
100% |
1687
1.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
1678
1.96 IPS |
|
|
Pose Estimation (Q)
|
96% |
1466
1.72 IPS |
|
|
Object Detection (SP)
|
100% |
913
72.4 IPS |
|
|
Object Detection (HP)
|
100% |
879
69.7 IPS |
|
|
Object Detection (Q)
|
85% |
560
45.1 IPS |
|
|
Face Detection (SP)
|
100% |
1558
18.5 IPS |
|
|
Face Detection (HP)
|
100% |
1567
18.6 IPS |
|
|
Face Detection (Q)
|
97% |
1199
14.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1647
12.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1625
12.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
972
9.11 IPS |
|
|
Style Transfer (SP)
|
100% |
2408
3.10 IPS |
|
|
Style Transfer (HP)
|
100% |
2438
3.13 IPS |
|
|
Style Transfer (Q)
|
98% |
2932
3.78 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1007
37.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1008
37.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
732
27.1 IPS |
|
|
Text Classification (SP)
|
100% |
698
931.4 IPS |
|
|
Text Classification (HP)
|
100% |
731
975.5 IPS |
|
|
Text Classification (Q)
|
92% |
316
424.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1418
24.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1420
24.5 IPS |
|
|
Machine Translation (Q)
|
58% |
292
6.87 IPS |
