LENOVO 82TV
Geekbench AI Score
1232
Single Precision Score
698
Half Precision Score
1683
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | seepranavg |
| Upload Date | September 22 2024 05:41 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 5625U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | LENOVO 82TV |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5625U |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
669
124.5 IPS |
|
|
Image Classification (HP)
|
100% |
274
51.0 IPS |
|
|
Image Classification (Q)
|
96% |
1341
250.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
759
12.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
358
5.80 IPS |
|
|
Image Segmentation (Q)
|
97% |
1084
17.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2297
2.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
2018
2.35 IPS |
|
|
Pose Estimation (Q)
|
87% |
5113
6.04 IPS |
|
|
Object Detection (SP)
|
100% |
740
58.7 IPS |
|
|
Object Detection (HP)
|
100% |
348
27.6 IPS |
|
|
Object Detection (Q)
|
86% |
768
61.7 IPS |
|
|
Face Detection (SP)
|
100% |
1137
13.5 IPS |
|
|
Face Detection (HP)
|
100% |
749
8.91 IPS |
|
|
Face Detection (Q)
|
96% |
1964
23.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2301
17.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1152
8.87 IPS |
|
|
Depth Estimation (Q)
|
77% |
2708
21.7 IPS |
|
|
Style Transfer (SP)
|
100% |
5824
7.49 IPS |
|
|
Style Transfer (HP)
|
100% |
5137
6.60 IPS |
|
|
Style Transfer (Q)
|
87% |
6871
8.94 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
829
30.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
741
27.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1281
47.5 IPS |
|
|
Text Classification (SP)
|
100% |
733
978.2 IPS |
|
|
Text Classification (HP)
|
100% |
313
417.7 IPS |
|
|
Text Classification (Q)
|
97% |
632
846.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1010
17.4 IPS |
|
|
Machine Translation (HP)
|
100% |
390
6.71 IPS |
|
|
Machine Translation (Q)
|
60% |
1081
24.1 IPS |
