LENOVO 82XU
Geekbench AI Score
3196
Single Precision Score
1527
Half Precision Score
6451
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | allanburk |
| Upload Date | January 05 2025 01:36 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 7840HS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 82XU |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Hg prestanda |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7840HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2683
499.0 IPS |
|
|
Image Classification (HP)
|
100% |
583
108.5 IPS |
|
|
Image Classification (Q)
|
99% |
6920
1.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
824
13.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
740
12.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
3288
53.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5527
6.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
4444
5.19 IPS |
|
|
Pose Estimation (Q)
|
94% |
21422
25.1 IPS |
|
|
Object Detection (SP)
|
100% |
2509
199.0 IPS |
|
|
Object Detection (HP)
|
100% |
749
59.4 IPS |
|
|
Object Detection (Q)
|
86% |
6913
555.6 IPS |
|
|
Face Detection (SP)
|
100% |
4560
54.2 IPS |
|
|
Face Detection (HP)
|
100% |
1597
19.0 IPS |
|
|
Face Detection (Q)
|
97% |
9748
116.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7621
58.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2364
18.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
9167
73.2 IPS |
|
|
Style Transfer (SP)
|
100% |
13910
17.9 IPS |
|
|
Style Transfer (HP)
|
100% |
11842
15.2 IPS |
|
|
Style Transfer (Q)
|
98% |
22810
29.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2285
84.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2022
74.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3420
126.6 IPS |
|
|
Text Classification (SP)
|
100% |
1671
2.23 KIPS |
|
|
Text Classification (HP)
|
100% |
738
985.1 IPS |
|
|
Text Classification (Q)
|
97% |
1838
2.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
1970
33.9 IPS |
|
|
Machine Translation (HP)
|
100% |
722
12.4 IPS |
|
|
Machine Translation (Q)
|
65% |
2892
58.1 IPS |
