LENOVO 83M0
Geekbench AI Score
17855
Single Precision Score
33112
Half Precision Score
14098
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | wistful1 |
| Upload Date | October 31 2025 03:10 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 83M0 |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 260 w/ Radeon 780M Graphics |
| 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% |
7418
1.38 KIPS |
|
|
Image Classification (HP)
|
100% |
13450
2.50 KIPS |
|
|
Image Classification (Q)
|
99% |
6995
1.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12388
200.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
18690
303.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
11490
186.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
85458
99.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
282235
329.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
78208
91.6 IPS |
|
|
Object Detection (SP)
|
100% |
9288
736.7 IPS |
|
|
Object Detection (HP)
|
100% |
17128
1.36 KIPS |
|
|
Object Detection (Q)
|
87% |
8324
668.0 IPS |
|
|
Face Detection (SP)
|
100% |
23134
274.9 IPS |
|
|
Face Detection (HP)
|
100% |
38371
455.9 IPS |
|
|
Face Detection (Q)
|
97% |
20963
249.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
44835
345.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
94484
727.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
36806
294.3 IPS |
|
|
Style Transfer (SP)
|
100% |
136759
175.8 IPS |
|
|
Style Transfer (HP)
|
100% |
458518
589.4 IPS |
|
|
Style Transfer (Q)
|
98% |
114918
148.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
25061
925.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48250
1.78 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
20380
754.6 IPS |
|
|
Text Classification (SP)
|
100% |
3072
4.10 KIPS |
|
|
Text Classification (HP)
|
100% |
3651
4.87 KIPS |
|
|
Text Classification (Q)
|
97% |
1975
2.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
4136
71.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4453
76.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1662
31.2 IPS |
