LENOVO 83DM
Geekbench AI Score
7444
Single Precision Score
10876
Half Precision Score
5835
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Corbit1985 |
| Upload Date | November 27 2025 02:12 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 83DM |
| 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% |
2829
526.1 IPS |
|
|
Image Classification (HP)
|
100% |
4484
833.8 IPS |
|
|
Image Classification (Q)
|
100% |
2750
511.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
4279
69.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4676
75.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
3507
57.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
38882
45.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
66394
77.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
30062
35.2 IPS |
|
|
Object Detection (SP)
|
100% |
2621
207.9 IPS |
|
|
Object Detection (HP)
|
100% |
3832
304.0 IPS |
|
|
Object Detection (Q)
|
87% |
2412
193.7 IPS |
|
|
Face Detection (SP)
|
100% |
6078
72.2 IPS |
|
|
Face Detection (HP)
|
100% |
10596
125.9 IPS |
|
|
Face Detection (Q)
|
97% |
5264
62.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
16970
130.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
24963
192.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
13802
110.7 IPS |
|
|
Style Transfer (SP)
|
100% |
65674
84.4 IPS |
|
|
Style Transfer (HP)
|
100% |
106239
136.6 IPS |
|
|
Style Transfer (Q)
|
98% |
47061
60.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11859
437.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20231
747.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7738
286.5 IPS |
|
|
Text Classification (SP)
|
100% |
1986
2.65 KIPS |
|
|
Text Classification (HP)
|
100% |
2157
2.88 KIPS |
|
|
Text Classification (Q)
|
97% |
1556
2.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
2655
45.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3543
61.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1590
29.8 IPS |
