LENOVO 83DK
Geekbench AI Score
1544
Single Precision Score
713
Half Precision Score
2491
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Will_g_laser |
| Upload Date | February 14 2025 03:38 PM |
| Views | 3 |
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% |
1015
188.7 IPS |
|
|
Image Classification (HP)
|
100% |
251
46.6 IPS |
|
|
Image Classification (Q)
|
99% |
3296
614.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
542
8.79 IPS |
|
|
Image Segmentation (HP)
|
100% |
349
5.66 IPS |
|
|
Image Segmentation (Q)
|
98% |
1072
17.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2580
3.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
2241
2.61 IPS |
|
|
Pose Estimation (Q)
|
94% |
9588
11.2 IPS |
|
|
Object Detection (SP)
|
100% |
1150
91.2 IPS |
|
|
Object Detection (HP)
|
100% |
340
27.0 IPS |
|
|
Object Detection (Q)
|
86% |
2558
205.6 IPS |
|
|
Face Detection (SP)
|
100% |
2444
29.0 IPS |
|
|
Face Detection (HP)
|
100% |
785
9.33 IPS |
|
|
Face Detection (Q)
|
97% |
4357
52.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3519
27.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1087
8.37 IPS |
|
|
Depth Estimation (Q)
|
78% |
3657
29.2 IPS |
|
|
Style Transfer (SP)
|
100% |
5837
7.50 IPS |
|
|
Style Transfer (HP)
|
100% |
5306
6.82 IPS |
|
|
Style Transfer (Q)
|
98% |
14191
18.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1080
39.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
883
32.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1674
62.0 IPS |
|
|
Text Classification (SP)
|
100% |
763
1.02 KIPS |
|
|
Text Classification (HP)
|
100% |
340
453.7 IPS |
|
|
Text Classification (Q)
|
97% |
204
273.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1141
19.7 IPS |
|
|
Machine Translation (HP)
|
100% |
379
6.53 IPS |
|
|
Machine Translation (Q)
|
65% |
1379
27.7 IPS |
