Lenovo Legion 5 LENOVO 83M0
Geekbench AI Score
17062
Single Precision Score
31595
Half Precision Score
13399
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | zurat |
| Upload Date | January 13 2026 10:44 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (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% |
7254
1.35 KIPS |
|
|
Image Classification (HP)
|
100% |
12855
2.39 KIPS |
|
|
Image Classification (Q)
|
99% |
6907
1.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12347
200.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
18739
303.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
10913
177.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
80917
94.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
270897
316.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
73406
86.0 IPS |
|
|
Object Detection (SP)
|
100% |
9107
722.4 IPS |
|
|
Object Detection (HP)
|
100% |
16170
1.28 KIPS |
|
|
Object Detection (Q)
|
87% |
7992
641.4 IPS |
|
|
Face Detection (SP)
|
100% |
23478
279.0 IPS |
|
|
Face Detection (HP)
|
100% |
37797
449.1 IPS |
|
|
Face Detection (Q)
|
97% |
20334
242.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
42206
325.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
92853
715.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
35910
287.1 IPS |
|
|
Style Transfer (SP)
|
100% |
128823
165.6 IPS |
|
|
Style Transfer (HP)
|
100% |
448548
576.6 IPS |
|
|
Style Transfer (Q)
|
98% |
114526
147.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
23896
882.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42943
1.59 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
17617
652.3 IPS |
|
|
Text Classification (SP)
|
100% |
2758
3.68 KIPS |
|
|
Text Classification (HP)
|
100% |
3183
4.25 KIPS |
|
|
Text Classification (Q)
|
97% |
1792
2.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
3766
64.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4366
75.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1598
30.0 IPS |
