LENOVO 83DK
Geekbench AI Score
1551
Single Precision Score
721
Half Precision Score
3146
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 01 2025 12:58 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 8840HS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 83DK |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 8840HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1148
213.6 IPS |
|
|
Image Classification (HP)
|
100% |
259
48.2 IPS |
|
|
Image Classification (Q)
|
99% |
3246
605.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
798
12.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
347
5.63 IPS |
|
|
Image Segmentation (Q)
|
98% |
1568
25.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2253
2.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
1999
2.33 IPS |
|
|
Pose Estimation (Q)
|
94% |
9139
10.7 IPS |
|
|
Object Detection (SP)
|
100% |
1064
84.4 IPS |
|
|
Object Detection (HP)
|
100% |
438
34.8 IPS |
|
|
Object Detection (Q)
|
86% |
3158
253.8 IPS |
|
|
Face Detection (SP)
|
100% |
2882
34.2 IPS |
|
|
Face Detection (HP)
|
100% |
758
9.00 IPS |
|
|
Face Detection (Q)
|
97% |
4779
57.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3057
23.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1042
8.03 IPS |
|
|
Depth Estimation (Q)
|
78% |
4806
38.4 IPS |
|
|
Style Transfer (SP)
|
100% |
5631
7.24 IPS |
|
|
Style Transfer (HP)
|
100% |
5178
6.66 IPS |
|
|
Style Transfer (Q)
|
98% |
13933
18.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
993
36.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
935
34.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1676
62.1 IPS |
|
|
Text Classification (SP)
|
100% |
666
889.4 IPS |
|
|
Text Classification (HP)
|
100% |
343
457.2 IPS |
|
|
Text Classification (Q)
|
97% |
788
1.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
1120
19.3 IPS |
|
|
Machine Translation (HP)
|
100% |
369
6.35 IPS |
|
|
Machine Translation (Q)
|
65% |
1532
30.8 IPS |
