LENOVO 83DK
Geekbench AI Score
2174
Single Precision Score
1088
Half Precision Score
4721
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 18 2025 06:54 PM |
| Views | 4 |
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% |
1574
292.7 IPS |
|
|
Image Classification (HP)
|
100% |
389
72.4 IPS |
|
|
Image Classification (Q)
|
99% |
4587
855.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
863
14.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
493
7.99 IPS |
|
|
Image Segmentation (Q)
|
98% |
2047
33.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3479
4.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
3126
3.65 IPS |
|
|
Pose Estimation (Q)
|
94% |
15008
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
1567
124.3 IPS |
|
|
Object Detection (HP)
|
100% |
568
45.0 IPS |
|
|
Object Detection (Q)
|
86% |
4792
385.1 IPS |
|
|
Face Detection (SP)
|
100% |
3063
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
1234
14.7 IPS |
|
|
Face Detection (Q)
|
97% |
6530
77.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4712
36.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1690
13.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
7329
58.5 IPS |
|
|
Style Transfer (SP)
|
100% |
8493
10.9 IPS |
|
|
Style Transfer (HP)
|
100% |
8039
10.3 IPS |
|
|
Style Transfer (Q)
|
98% |
18352
23.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1445
53.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1351
49.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2362
87.5 IPS |
|
|
Text Classification (SP)
|
100% |
1093
1.46 KIPS |
|
|
Text Classification (HP)
|
100% |
517
690.7 IPS |
|
|
Text Classification (Q)
|
97% |
1478
1.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
1645
28.3 IPS |
|
|
Machine Translation (HP)
|
100% |
587
10.1 IPS |
|
|
Machine Translation (Q)
|
65% |
2659
53.4 IPS |
