LENOVO 80XG
Geekbench AI Score
1795
Single Precision Score
890
Half Precision Score
2242
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | syh120506 |
| Upload Date | December 07 2024 03:42 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 7530U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 80XG |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7530U |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1376
256.0 IPS |
|
|
Image Classification (HP)
|
100% |
359
66.7 IPS |
|
|
Image Classification (Q)
|
96% |
2417
451.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
897
14.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
504
8.17 IPS |
|
|
Image Segmentation (Q)
|
97% |
1180
19.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2722
3.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
2189
2.55 IPS |
|
|
Pose Estimation (Q)
|
86% |
5516
6.52 IPS |
|
|
Object Detection (SP)
|
100% |
1287
102.1 IPS |
|
|
Object Detection (HP)
|
100% |
454
36.0 IPS |
|
|
Object Detection (Q)
|
58% |
1490
162.8 IPS |
|
|
Face Detection (SP)
|
100% |
2162
25.7 IPS |
|
|
Face Detection (HP)
|
100% |
891
10.6 IPS |
|
|
Face Detection (Q)
|
96% |
4078
48.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3614
27.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1336
10.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
5353
42.7 IPS |
|
|
Style Transfer (SP)
|
100% |
6683
8.59 IPS |
|
|
Style Transfer (HP)
|
100% |
5406
6.95 IPS |
|
|
Style Transfer (Q)
|
87% |
8465
11.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1288
47.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1108
40.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1638
60.7 IPS |
|
|
Text Classification (SP)
|
100% |
978
1.31 KIPS |
|
|
Text Classification (HP)
|
100% |
518
690.9 IPS |
|
|
Text Classification (Q)
|
97% |
312
418.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1226
21.1 IPS |
|
|
Machine Translation (HP)
|
100% |
474
8.16 IPS |
|
|
Machine Translation (Q)
|
68% |
1455
28.1 IPS |
