LENOVO V15 G4 IRU LENOVO 83A1
Geekbench AI Score
1387
Single Precision Score
770
Half Precision Score
2004
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | akostadinov |
| Upload Date | November 20 2024 02:48 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i3-1315U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 83A1 |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i3-1315U |
| Topology | 1 Processor, 6 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 3 |
| Base Frequency | 1.20 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
835
155.3 IPS |
|
|
Image Classification (HP)
|
100% |
303
56.4 IPS |
|
|
Image Classification (Q)
|
99% |
1702
317.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
688
11.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
516
8.37 IPS |
|
|
Image Segmentation (Q)
|
98% |
1444
23.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2535
2.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
1703
1.99 IPS |
|
|
Pose Estimation (Q)
|
95% |
8099
9.49 IPS |
|
|
Object Detection (SP)
|
100% |
921
73.1 IPS |
|
|
Object Detection (HP)
|
100% |
375
29.7 IPS |
|
|
Object Detection (Q)
|
88% |
990
79.4 IPS |
|
|
Face Detection (SP)
|
100% |
1011
12.0 IPS |
|
|
Face Detection (HP)
|
100% |
720
8.56 IPS |
|
|
Face Detection (Q)
|
97% |
1840
21.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2723
21.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1163
8.96 IPS |
|
|
Depth Estimation (Q)
|
77% |
3258
26.1 IPS |
|
|
Style Transfer (SP)
|
100% |
5745
7.39 IPS |
|
|
Style Transfer (HP)
|
100% |
4582
5.89 IPS |
|
|
Style Transfer (Q)
|
98% |
7501
9.67 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1162
42.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
973
35.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2129
78.8 IPS |
|
|
Text Classification (SP)
|
100% |
1067
1.42 KIPS |
|
|
Text Classification (HP)
|
100% |
476
635.5 IPS |
|
|
Text Classification (Q)
|
97% |
510
683.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1009
17.4 IPS |
|
|
Machine Translation (HP)
|
100% |
415
7.15 IPS |
|
|
Machine Translation (Q)
|
60% |
1091
24.3 IPS |
