LENOVO 83DK
Geekbench AI Score
3092
Single Precision Score
4954
Half Precision Score
2592
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Will_g_laser |
| Upload Date | February 14 2025 03:28 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD 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% |
989
184.0 IPS |
|
|
Image Classification (HP)
|
100% |
1692
314.6 IPS |
|
|
Image Classification (Q)
|
100% |
930
172.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1366
22.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2221
36.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1132
18.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
16202
18.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
37641
43.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
19296
22.6 IPS |
|
|
Object Detection (SP)
|
100% |
986
78.2 IPS |
|
|
Object Detection (HP)
|
100% |
1999
158.6 IPS |
|
|
Object Detection (Q)
|
87% |
1328
106.6 IPS |
|
|
Face Detection (SP)
|
100% |
2912
34.6 IPS |
|
|
Face Detection (HP)
|
100% |
3812
45.3 IPS |
|
|
Face Detection (Q)
|
97% |
3056
36.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
11709
90.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
13919
107.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
5361
43.0 IPS |
|
|
Style Transfer (SP)
|
100% |
32081
41.2 IPS |
|
|
Style Transfer (HP)
|
100% |
64836
83.3 IPS |
|
|
Style Transfer (Q)
|
98% |
30751
39.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5253
194.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9502
350.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3374
124.9 IPS |
|
|
Text Classification (SP)
|
100% |
623
831.4 IPS |
|
|
Text Classification (HP)
|
100% |
904
1.21 KIPS |
|
|
Text Classification (Q)
|
97% |
425
568.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1036
17.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1066
18.4 IPS |
|
|
Machine Translation (Q)
|
70% |
703
13.2 IPS |
