LENOVO 83DD
Geekbench AI Score
6171
Single Precision Score
8655
Half Precision Score
4767
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | baraka1999 |
| Upload Date | March 16 2026 04:33 PM |
| Views | 6 |
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 83DD |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 8845HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2386
443.8 IPS |
|
|
Image Classification (HP)
|
100% |
3233
601.2 IPS |
|
|
Image Classification (Q)
|
100% |
2152
400.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
3452
56.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4172
67.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2844
46.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
30741
35.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
56837
66.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
23889
28.0 IPS |
|
|
Object Detection (SP)
|
100% |
2267
179.8 IPS |
|
|
Object Detection (HP)
|
100% |
2968
235.4 IPS |
|
|
Object Detection (Q)
|
87% |
2101
168.8 IPS |
|
|
Face Detection (SP)
|
100% |
5174
61.5 IPS |
|
|
Face Detection (HP)
|
100% |
8818
104.8 IPS |
|
|
Face Detection (Q)
|
97% |
4413
52.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
13988
107.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
20791
160.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
11078
88.8 IPS |
|
|
Style Transfer (SP)
|
100% |
53100
68.3 IPS |
|
|
Style Transfer (HP)
|
100% |
93652
120.4 IPS |
|
|
Style Transfer (Q)
|
98% |
37850
48.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10010
369.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16729
617.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6974
258.2 IPS |
|
|
Text Classification (SP)
|
100% |
1390
1.86 KIPS |
|
|
Text Classification (HP)
|
100% |
1329
1.77 KIPS |
|
|
Text Classification (Q)
|
97% |
1084
1.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
2613
45.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2717
46.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1413
26.5 IPS |
