LENOVO 83DM
Geekbench AI Score
2129
Single Precision Score
975
Half Precision Score
4640
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 21 2025 11:22 AM |
| Views | 5 |
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 83DM |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Equilibrado |
| 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% |
1584
294.6 IPS |
|
|
Image Classification (HP)
|
100% |
358
66.6 IPS |
|
|
Image Classification (Q)
|
99% |
4865
907.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1008
16.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
494
8.01 IPS |
|
|
Image Segmentation (Q)
|
98% |
4885
79.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3230
3.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
2818
3.29 IPS |
|
|
Pose Estimation (Q)
|
94% |
12902
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1549
122.9 IPS |
|
|
Object Detection (HP)
|
100% |
448
35.5 IPS |
|
|
Object Detection (Q)
|
86% |
4406
354.1 IPS |
|
|
Face Detection (SP)
|
100% |
3528
41.9 IPS |
|
|
Face Detection (HP)
|
100% |
983
11.7 IPS |
|
|
Face Detection (Q)
|
97% |
5852
69.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4147
32.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1422
11.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
4891
39.0 IPS |
|
|
Style Transfer (SP)
|
100% |
7807
10.0 IPS |
|
|
Style Transfer (HP)
|
100% |
6955
8.94 IPS |
|
|
Style Transfer (Q)
|
98% |
15591
20.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1340
49.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1190
44.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3502
129.7 IPS |
|
|
Text Classification (SP)
|
100% |
1129
1.51 KIPS |
|
|
Text Classification (HP)
|
100% |
523
698.2 IPS |
|
|
Text Classification (Q)
|
97% |
1066
1.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
1391
24.0 IPS |
|
|
Machine Translation (HP)
|
100% |
579
9.98 IPS |
|
|
Machine Translation (Q)
|
65% |
2058
41.4 IPS |
