LENOVO 83GS
Geekbench AI Score
8668
Single Precision Score
15603
Half Precision Score
5913
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | GadgetVisioi |
| Upload Date | December 20 2024 06:35 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% |
3145
584.9 IPS |
|
|
Image Classification (HP)
|
99% |
5909
1.10 KIPS |
|
|
Image Classification (Q)
|
99% |
2680
499.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
5113
82.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
8529
138.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
4310
70.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
42002
49.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
128292
149.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
34323
40.2 IPS |
|
|
Object Detection (SP)
|
100% |
4018
318.7 IPS |
|
|
Object Detection (HP)
|
100% |
7544
598.4 IPS |
|
|
Object Detection (Q)
|
84% |
3315
267.4 IPS |
|
|
Face Detection (SP)
|
100% |
8887
105.6 IPS |
|
|
Face Detection (HP)
|
100% |
14823
176.1 IPS |
|
|
Face Detection (Q)
|
97% |
7072
84.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
20689
159.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
40663
314.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
15068
120.8 IPS |
|
|
Style Transfer (SP)
|
100% |
72840
93.6 IPS |
|
|
Style Transfer (HP)
|
100% |
171609
220.6 IPS |
|
|
Style Transfer (Q)
|
98% |
56820
73.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12556
463.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24074
888.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7669
284.0 IPS |
|
|
Text Classification (SP)
|
100% |
2408
3.21 KIPS |
|
|
Text Classification (HP)
|
99% |
2864
3.82 KIPS |
|
|
Text Classification (Q)
|
97% |
894
1.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
2181
37.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2460
42.4 IPS |
|
|
Machine Translation (Q)
|
70% |
958
18.0 IPS |
