LENOVO V15 G4 IRU LENOVO 83A1
Geekbench AI Score
1617
Single Precision Score
1611
Half Precision Score
3665
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | akostadinov |
| Upload Date | November 20 2024 03:03 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) 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% |
923
171.7 IPS |
|
|
Image Classification (HP)
|
100% |
914
170.0 IPS |
|
|
Image Classification (Q)
|
100% |
2345
436.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1107
17.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1094
17.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
1960
31.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2437
2.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
2203
2.57 IPS |
|
|
Pose Estimation (Q)
|
96% |
6646
7.79 IPS |
|
|
Object Detection (SP)
|
100% |
1004
79.6 IPS |
|
|
Object Detection (HP)
|
100% |
978
77.6 IPS |
|
|
Object Detection (Q)
|
88% |
2439
195.5 IPS |
|
|
Face Detection (SP)
|
100% |
1871
22.2 IPS |
|
|
Face Detection (HP)
|
100% |
1904
22.6 IPS |
|
|
Face Detection (Q)
|
100% |
5323
63.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2808
21.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2763
21.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
6241
48.5 IPS |
|
|
Style Transfer (SP)
|
100% |
6915
8.89 IPS |
|
|
Style Transfer (HP)
|
100% |
6935
8.91 IPS |
|
|
Style Transfer (Q)
|
98% |
18144
23.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1267
46.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1266
46.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3626
134.3 IPS |
|
|
Text Classification (SP)
|
100% |
925
1.23 KIPS |
|
|
Text Classification (HP)
|
100% |
943
1.26 KIPS |
|
|
Text Classification (Q)
|
92% |
2402
3.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
1152
19.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1258
21.7 IPS |
|
|
Machine Translation (Q)
|
100% |
1118
19.3 IPS |
