LENOVO V15 G4 IRU LENOVO 83A1
Geekbench AI Score
1680
Single Precision Score
1871
Half Precision Score
1069
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | akostadinov |
| Upload Date | November 20 2024 01:24 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics |
| 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% |
729
135.6 IPS |
|
|
Image Classification (HP)
|
100% |
794
147.7 IPS |
|
|
Image Classification (Q)
|
99% |
604
112.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
997
16.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1336
21.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
783
12.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5454
6.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
8093
9.44 IPS |
|
|
Pose Estimation (Q)
|
96% |
3555
4.17 IPS |
|
|
Object Detection (SP)
|
100% |
842
66.8 IPS |
|
|
Object Detection (HP)
|
98% |
804
63.9 IPS |
|
|
Object Detection (Q)
|
89% |
667
53.4 IPS |
|
|
Face Detection (SP)
|
100% |
1140
13.5 IPS |
|
|
Face Detection (HP)
|
100% |
1780
21.1 IPS |
|
|
Face Detection (Q)
|
97% |
784
9.35 IPS |
|
|
Depth Estimation (SP)
|
100% |
3423
26.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
4203
32.5 IPS |
|
|
Depth Estimation (Q)
|
76% |
2452
19.7 IPS |
|
|
Style Transfer (SP)
|
100% |
13893
17.9 IPS |
|
|
Style Transfer (HP)
|
100% |
19836
25.5 IPS |
|
|
Style Transfer (Q)
|
98% |
8687
11.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2108
77.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3082
113.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1000
37.0 IPS |
|
|
Text Classification (SP)
|
100% |
756
1.01 KIPS |
|
|
Text Classification (HP)
|
100% |
284
378.9 IPS |
|
|
Text Classification (Q)
|
97% |
356
477.0 IPS |
|
|
Machine Translation (SP)
|
100% |
624
10.7 IPS |
|
|
Machine Translation (HP)
|
100% |
589
10.1 IPS |
|
|
Machine Translation (Q)
|
60% |
295
6.57 IPS |
