LENOVO 83GS
Geekbench AI Score
9275
Single Precision Score
16902
Half Precision Score
5996
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 17 2024 10:17 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3050 6GB Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | LENOVO 83GS |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3459
643.3 IPS |
|
|
Image Classification (HP)
|
99% |
5979
1.12 KIPS |
|
|
Image Classification (Q)
|
100% |
2592
482.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
5690
92.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9530
154.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
4631
75.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
43960
51.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
141585
165.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
35729
41.8 IPS |
|
|
Object Detection (SP)
|
100% |
4383
347.6 IPS |
|
|
Object Detection (HP)
|
100% |
8524
676.1 IPS |
|
|
Object Detection (Q)
|
89% |
2942
235.5 IPS |
|
|
Face Detection (SP)
|
100% |
8864
105.3 IPS |
|
|
Face Detection (HP)
|
100% |
15375
182.7 IPS |
|
|
Face Detection (Q)
|
97% |
6607
78.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
21460
165.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
46462
359.0 IPS |
|
|
Depth Estimation (Q)
|
76% |
14177
114.2 IPS |
|
|
Style Transfer (SP)
|
100% |
77688
99.9 IPS |
|
|
Style Transfer (HP)
|
100% |
198491
255.2 IPS |
|
|
Style Transfer (Q)
|
98% |
59532
76.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13649
504.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25151
928.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8087
299.4 IPS |
|
|
Text Classification (SP)
|
100% |
2381
3.18 KIPS |
|
|
Text Classification (HP)
|
99% |
2972
3.97 KIPS |
|
|
Text Classification (Q)
|
97% |
1068
1.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
2588
44.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2612
45.0 IPS |
|
|
Machine Translation (Q)
|
60% |
990
22.1 IPS |
