LENOVO 83GS
Geekbench AI Score
8674
Single Precision Score
16203
Half Precision Score
5989
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | GadgetVisioi |
| Upload Date | December 20 2024 06:38 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3050 6GB Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 83GS |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Tasapainotettu |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12450HX |
| Topology | 1 Processor, 8 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3057
568.5 IPS |
|
|
Image Classification (HP)
|
99% |
6135
1.14 KIPS |
|
|
Image Classification (Q)
|
99% |
2611
487.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
5390
87.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
8560
138.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
4413
71.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
42018
49.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
139922
163.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
34248
40.1 IPS |
|
|
Object Detection (SP)
|
100% |
3725
295.5 IPS |
|
|
Object Detection (HP)
|
100% |
7731
613.2 IPS |
|
|
Object Detection (Q)
|
84% |
3312
267.1 IPS |
|
|
Face Detection (SP)
|
100% |
8365
99.4 IPS |
|
|
Face Detection (HP)
|
100% |
14100
167.5 IPS |
|
|
Face Detection (Q)
|
97% |
6844
81.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
21200
163.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
46036
355.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
15317
122.8 IPS |
|
|
Style Transfer (SP)
|
100% |
73386
94.3 IPS |
|
|
Style Transfer (HP)
|
100% |
187103
240.5 IPS |
|
|
Style Transfer (Q)
|
98% |
56944
73.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12647
467.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23910
882.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7612
281.9 IPS |
|
|
Text Classification (SP)
|
100% |
2417
3.23 KIPS |
|
|
Text Classification (HP)
|
99% |
3054
4.08 KIPS |
|
|
Text Classification (Q)
|
97% |
1006
1.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
2351
40.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2477
42.7 IPS |
|
|
Machine Translation (Q)
|
70% |
994
18.7 IPS |
