LENOVO 83M0
Geekbench AI Score
3719
Single Precision Score
911
Half Precision Score
7529
Quantized Score
Geekbench AI 1.6.0 for Linux AVX2
Result Information
| Upload Date | February 10 2026 05:15 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 260 w/ Radeon 780M Graphics |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.3 LTS |
| Model | LENOVO 83M0 |
| Motherboard | LENOVO LNVNB161216 |
| 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 | 5.10 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 30.66 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2364
439.7 IPS |
|
|
Image Classification (HP)
|
100% |
233
43.4 IPS |
|
|
Image Classification (Q)
|
97% |
8268
1.54 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1849
30.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
337
5.47 IPS |
|
|
Image Segmentation (Q)
|
99% |
3405
55.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8219
9.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
3719
4.34 IPS |
|
|
Pose Estimation (Q)
|
94% |
23894
28.0 IPS |
|
|
Object Detection (SP)
|
100% |
1778
141.0 IPS |
|
|
Object Detection (HP)
|
100% |
229
18.2 IPS |
|
|
Object Detection (Q)
|
86% |
7661
615.7 IPS |
|
|
Face Detection (SP)
|
100% |
3515
41.8 IPS |
|
|
Face Detection (HP)
|
100% |
380
4.52 IPS |
|
|
Face Detection (Q)
|
97% |
15638
186.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9073
69.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1427
11.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
10253
81.8 IPS |
|
|
Style Transfer (SP)
|
100% |
11066
14.2 IPS |
|
|
Style Transfer (HP)
|
100% |
10099
13.0 IPS |
|
|
Style Transfer (Q)
|
98% |
28324
36.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3201
118.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2696
99.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3156
116.9 IPS |
|
|
Text Classification (SP)
|
100% |
2664
3.56 KIPS |
|
|
Text Classification (HP)
|
100% |
602
803.2 IPS |
|
|
Text Classification (Q)
|
97% |
2159
2.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
2638
45.4 IPS |
|
|
Machine Translation (HP)
|
100% |
668
11.5 IPS |
|
|
Machine Translation (Q)
|
65% |
3674
73.8 IPS |
