LENOVO 82YY
Geekbench AI Score
1639
Single Precision Score
845
Half Precision Score
2376
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 25 2024 03:47 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 7730U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 82YY |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7730U |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1209
224.8 IPS |
|
|
Image Classification (HP)
|
100% |
322
59.9 IPS |
|
|
Image Classification (Q)
|
96% |
2750
513.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
743
12.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
463
7.50 IPS |
|
|
Image Segmentation (Q)
|
97% |
1332
21.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2549
2.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
2391
2.79 IPS |
|
|
Pose Estimation (Q)
|
86% |
6584
7.78 IPS |
|
|
Object Detection (SP)
|
100% |
1225
97.2 IPS |
|
|
Object Detection (HP)
|
100% |
387
30.7 IPS |
|
|
Object Detection (Q)
|
58% |
1526
166.7 IPS |
|
|
Face Detection (SP)
|
100% |
1766
21.0 IPS |
|
|
Face Detection (HP)
|
100% |
745
8.86 IPS |
|
|
Face Detection (Q)
|
96% |
4465
53.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3502
27.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1184
9.12 IPS |
|
|
Depth Estimation (Q)
|
78% |
5869
46.8 IPS |
|
|
Style Transfer (SP)
|
100% |
6388
8.21 IPS |
|
|
Style Transfer (HP)
|
100% |
5629
7.24 IPS |
|
|
Style Transfer (Q)
|
87% |
7764
10.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1127
41.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1032
38.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1573
58.3 IPS |
|
|
Text Classification (SP)
|
100% |
1004
1.34 KIPS |
|
|
Text Classification (HP)
|
100% |
564
753.0 IPS |
|
|
Text Classification (Q)
|
97% |
352
471.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1121
19.3 IPS |
|
|
Machine Translation (HP)
|
100% |
466
8.02 IPS |
|
|
Machine Translation (Q)
|
68% |
1384
26.7 IPS |
