LENOVO 83M0
Geekbench AI Score
2750
Single Precision Score
2767
Half Precision Score
1861
Quantized Score
Geekbench AI 1.6.0 for Linux AVX2
Result Information
| Upload Date | February 10 2026 04:54 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| 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% |
2049
381.0 IPS |
|
|
Image Classification (HP)
|
100% |
2008
373.4 IPS |
|
|
Image Classification (Q)
|
99% |
1452
270.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2966
48.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2982
48.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1253
20.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3321
3.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
3317
3.87 IPS |
|
|
Pose Estimation (Q)
|
96% |
3890
4.56 IPS |
|
|
Object Detection (SP)
|
100% |
2109
167.3 IPS |
|
|
Object Detection (HP)
|
100% |
2156
171.0 IPS |
|
|
Object Detection (Q)
|
85% |
1258
101.2 IPS |
|
|
Face Detection (SP)
|
100% |
3247
38.6 IPS |
|
|
Face Detection (HP)
|
100% |
3254
38.7 IPS |
|
|
Face Detection (Q)
|
97% |
2852
34.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3264
25.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3277
25.3 IPS |
|
|
Depth Estimation (Q)
|
63% |
2293
21.5 IPS |
|
|
Style Transfer (SP)
|
100% |
3584
4.61 IPS |
|
|
Style Transfer (HP)
|
100% |
3579
4.60 IPS |
|
|
Style Transfer (Q)
|
98% |
6700
8.64 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2079
76.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2087
77.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1840
68.2 IPS |
|
|
Text Classification (SP)
|
100% |
2239
2.99 KIPS |
|
|
Text Classification (HP)
|
100% |
2306
3.08 KIPS |
|
|
Text Classification (Q)
|
92% |
934
1.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
3289
56.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3356
57.8 IPS |
|
|
Machine Translation (Q)
|
58% |
745
17.5 IPS |
