LENOVO 83DK
Geekbench AI Score
700
Single Precision Score
754
Half Precision Score
1862
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 01 2025 01:07 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 8840HS w/ Radeon 780M Graphics |
| 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% |
340
63.2 IPS |
|
|
Image Classification (HP)
|
100% |
370
68.8 IPS |
|
|
Image Classification (Q)
|
100% |
1030
191.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
292
4.73 IPS |
|
|
Image Segmentation (HP)
|
100% |
438
7.09 IPS |
|
|
Image Segmentation (Q)
|
99% |
633
10.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1008
1.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
993
1.16 IPS |
|
|
Pose Estimation (Q)
|
98% |
3853
4.51 IPS |
|
|
Object Detection (SP)
|
100% |
470
37.3 IPS |
|
|
Object Detection (HP)
|
100% |
354
28.1 IPS |
|
|
Object Detection (Q)
|
88% |
1003
80.4 IPS |
|
|
Face Detection (SP)
|
100% |
920
10.9 IPS |
|
|
Face Detection (HP)
|
100% |
909
10.8 IPS |
|
|
Face Detection (Q)
|
100% |
2470
29.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1434
11.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1414
10.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
4085
31.8 IPS |
|
|
Style Transfer (SP)
|
100% |
2593
3.33 IPS |
|
|
Style Transfer (HP)
|
100% |
2669
3.43 IPS |
|
|
Style Transfer (Q)
|
98% |
11257
14.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
630
23.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
645
23.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1216
45.0 IPS |
|
|
Text Classification (SP)
|
100% |
399
532.3 IPS |
|
|
Text Classification (HP)
|
100% |
399
533.0 IPS |
|
|
Text Classification (Q)
|
92% |
969
1.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
706
12.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1181
20.3 IPS |
|
|
Machine Translation (Q)
|
100% |
1491
25.7 IPS |
