LENOVO 83DK
Geekbench AI Score
2068
Single Precision Score
1169
Half Precision Score
3158
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 20 2024 05:59 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 8640HS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Education (64-bit) |
| Model | LENOVO 83DK |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Rovnovha |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 8640HS |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1288
239.4 IPS |
|
|
Image Classification (HP)
|
100% |
445
82.8 IPS |
|
|
Image Classification (Q)
|
99% |
3751
699.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
754
12.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
675
10.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1971
32.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3489
4.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
2875
3.35 IPS |
|
|
Pose Estimation (Q)
|
95% |
15225
17.8 IPS |
|
|
Object Detection (SP)
|
100% |
1362
108.0 IPS |
|
|
Object Detection (HP)
|
100% |
557
44.2 IPS |
|
|
Object Detection (Q)
|
88% |
1606
128.7 IPS |
|
|
Face Detection (SP)
|
100% |
2207
26.2 IPS |
|
|
Face Detection (HP)
|
100% |
1300
15.4 IPS |
|
|
Face Detection (Q)
|
97% |
4155
49.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4520
34.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1781
13.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
4635
37.1 IPS |
|
|
Style Transfer (SP)
|
100% |
8786
11.3 IPS |
|
|
Style Transfer (HP)
|
100% |
7944
10.2 IPS |
|
|
Style Transfer (Q)
|
98% |
18434
23.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1627
60.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1498
55.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2424
89.8 IPS |
|
|
Text Classification (SP)
|
100% |
1388
1.85 KIPS |
|
|
Text Classification (HP)
|
100% |
647
863.3 IPS |
|
|
Text Classification (Q)
|
97% |
397
531.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1573
27.1 IPS |
|
|
Machine Translation (HP)
|
100% |
557
9.59 IPS |
|
|
Machine Translation (Q)
|
60% |
1599
35.7 IPS |
