LENOVO 82K2
Geekbench AI Score
6099
Single Precision Score
11423
Half Precision Score
4614
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | March 30 2025 10:03 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3050 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Famille (64-bit) |
| Model | LENOVO 82K2 |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2695
501.2 IPS |
|
|
Image Classification (HP)
|
99% |
4710
878.5 IPS |
|
|
Image Classification (Q)
|
99% |
2184
407.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
4329
70.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
6932
112.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3732
60.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
21562
25.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
80491
93.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
19815
23.2 IPS |
|
|
Object Detection (SP)
|
100% |
3045
241.6 IPS |
|
|
Object Detection (HP)
|
100% |
6656
528.0 IPS |
|
|
Object Detection (Q)
|
84% |
2569
207.2 IPS |
|
|
Face Detection (SP)
|
100% |
7211
85.7 IPS |
|
|
Face Detection (HP)
|
100% |
11056
131.4 IPS |
|
|
Face Detection (Q)
|
97% |
6117
72.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
14686
113.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
34173
263.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
11059
88.2 IPS |
|
|
Style Transfer (SP)
|
100% |
44593
57.3 IPS |
|
|
Style Transfer (HP)
|
100% |
120202
154.5 IPS |
|
|
Style Transfer (Q)
|
98% |
37608
48.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8205
303.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17272
637.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6637
245.7 IPS |
|
|
Text Classification (SP)
|
100% |
1221
1.63 KIPS |
|
|
Text Classification (HP)
|
99% |
1412
1.88 KIPS |
|
|
Text Classification (Q)
|
97% |
722
967.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1968
33.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1954
33.7 IPS |
|
|
Machine Translation (Q)
|
70% |
865
16.2 IPS |
