LENOVO 83M0
Geekbench AI Score
2734
Single Precision Score
2733
Half Precision Score
1847
Quantized Score
Geekbench AI 1.6.0 for Linux AVX2
Result Information
| Upload Date | February 10 2026 04:46 PM |
| Views | 1 |
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 | 30.65 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2039
379.2 IPS |
|
|
Image Classification (HP)
|
100% |
2046
380.5 IPS |
|
|
Image Classification (Q)
|
99% |
1457
271.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2967
48.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2980
48.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1238
20.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3297
3.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
3291
3.84 IPS |
|
|
Pose Estimation (Q)
|
96% |
3842
4.50 IPS |
|
|
Object Detection (SP)
|
100% |
2050
162.6 IPS |
|
|
Object Detection (HP)
|
100% |
2080
165.0 IPS |
|
|
Object Detection (Q)
|
85% |
1236
99.5 IPS |
|
|
Face Detection (SP)
|
100% |
3260
38.7 IPS |
|
|
Face Detection (HP)
|
100% |
3247
38.6 IPS |
|
|
Face Detection (Q)
|
97% |
2778
33.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3211
24.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3146
24.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
2274
21.3 IPS |
|
|
Style Transfer (SP)
|
100% |
3566
4.58 IPS |
|
|
Style Transfer (HP)
|
100% |
3588
4.61 IPS |
|
|
Style Transfer (Q)
|
98% |
6687
8.62 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2069
76.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2067
76.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1804
66.9 IPS |
|
|
Text Classification (SP)
|
100% |
2215
2.96 KIPS |
|
|
Text Classification (HP)
|
100% |
2244
2.99 KIPS |
|
|
Text Classification (Q)
|
92% |
949
1.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
3343
57.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3280
56.5 IPS |
|
|
Machine Translation (Q)
|
58% |
746
17.5 IPS |
