LENOVO V15 G4 IRU LENOVO 83A1
Geekbench AI Score
2549
Single Precision Score
3792
Half Precision Score
5931
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | akostadinov |
| Upload Date | November 20 2024 01:48 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics (iGPU) |
| 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% |
1566
291.2 IPS |
|
|
Image Classification (HP)
|
100% |
2354
437.7 IPS |
|
|
Image Classification (Q)
|
99% |
3333
621.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1780
28.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3334
54.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4039
65.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5939
6.93 IPS |
|
|
Pose Estimation (HP)
|
99% |
4518
5.27 IPS |
|
|
Pose Estimation (Q)
|
97% |
19477
22.8 IPS |
|
|
Object Detection (SP)
|
100% |
1632
129.5 IPS |
|
|
Object Detection (HP)
|
100% |
2474
196.2 IPS |
|
|
Object Detection (Q)
|
90% |
3629
290.2 IPS |
|
|
Face Detection (SP)
|
100% |
2520
29.9 IPS |
|
|
Face Detection (HP)
|
100% |
5472
65.0 IPS |
|
|
Face Detection (Q)
|
100% |
9408
111.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5670
43.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
9359
72.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
12947
100.7 IPS |
|
|
Style Transfer (SP)
|
100% |
14573
18.7 IPS |
|
|
Style Transfer (HP)
|
100% |
24923
32.0 IPS |
|
|
Style Transfer (Q)
|
98% |
42904
55.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2422
89.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3866
142.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7759
287.4 IPS |
|
|
Text Classification (SP)
|
71% |
1025
1.48 KIPS |
|
|
Text Classification (HP)
|
71% |
1223
1.77 KIPS |
|
|
Text Classification (Q)
|
92% |
1193
1.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
831
14.3 IPS |
|
|
Machine Translation (HP)
|
96% |
1163
20.1 IPS |
|
|
Machine Translation (Q)
|
100% |
1171
20.2 IPS |
