LENOVO 83D3
Geekbench AI Score
3277
Single Precision Score
5537
Half Precision Score
2671
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Nickneutrino |
| Upload Date | October 28 2025 11:18 PM |
| Views | 2 |
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 83D3 |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Equilibrado |
| 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% |
1031
191.7 IPS |
|
|
Image Classification (HP)
|
100% |
1722
320.2 IPS |
|
|
Image Classification (Q)
|
100% |
920
171.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1282
20.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2385
38.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1078
17.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
21634
25.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
40322
47.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
27790
32.6 IPS |
|
|
Object Detection (SP)
|
100% |
940
74.6 IPS |
|
|
Object Detection (HP)
|
100% |
1654
131.2 IPS |
|
|
Object Detection (Q)
|
87% |
851
68.3 IPS |
|
|
Face Detection (SP)
|
100% |
1985
23.6 IPS |
|
|
Face Detection (HP)
|
100% |
3599
42.8 IPS |
|
|
Face Detection (Q)
|
97% |
4923
58.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6678
51.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
13177
101.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
4726
37.9 IPS |
|
|
Style Transfer (SP)
|
100% |
29097
37.4 IPS |
|
|
Style Transfer (HP)
|
100% |
59399
76.4 IPS |
|
|
Style Transfer (Q)
|
98% |
18509
23.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5228
193.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8249
304.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2788
103.2 IPS |
|
|
Text Classification (SP)
|
100% |
1108
1.48 KIPS |
|
|
Text Classification (HP)
|
100% |
1782
2.38 KIPS |
|
|
Text Classification (Q)
|
97% |
448
599.7 IPS |
|
|
Machine Translation (SP)
|
100% |
2381
41.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2389
41.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1465
27.5 IPS |
