LENOVO 83M0
Geekbench AI Score
17291
Single Precision Score
31709
Half Precision Score
13787
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | techdificient |
| Upload Date | November 12 2025 08:08 PM |
| Views | 2 |
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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7288
1.36 KIPS |
|
|
Image Classification (HP)
|
100% |
12805
2.38 KIPS |
|
|
Image Classification (Q)
|
99% |
6929
1.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12511
202.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
19282
312.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
11401
185.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
86095
100.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
266636
311.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
76937
90.1 IPS |
|
|
Object Detection (SP)
|
100% |
9112
722.8 IPS |
|
|
Object Detection (HP)
|
100% |
16373
1.30 KIPS |
|
|
Object Detection (Q)
|
87% |
8260
662.9 IPS |
|
|
Face Detection (SP)
|
100% |
23631
280.8 IPS |
|
|
Face Detection (HP)
|
100% |
37527
445.9 IPS |
|
|
Face Detection (Q)
|
97% |
20814
248.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
44129
340.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
87860
676.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
37361
298.7 IPS |
|
|
Style Transfer (SP)
|
100% |
134222
172.5 IPS |
|
|
Style Transfer (HP)
|
100% |
445606
572.8 IPS |
|
|
Style Transfer (Q)
|
98% |
115169
148.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
23827
879.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46268
1.71 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
19237
712.3 IPS |
|
|
Text Classification (SP)
|
100% |
2783
3.72 KIPS |
|
|
Text Classification (HP)
|
100% |
3219
4.30 KIPS |
|
|
Text Classification (Q)
|
97% |
1851
2.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
3599
62.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4358
75.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1550
29.1 IPS |
