LENOVO 82JU
Geekbench AI Score
4446
Single Precision Score
11073
Half Precision Score
3011
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | azcol |
| Upload Date | January 13 2026 06:19 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3060 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Windows 11 (64-bit) |
| Model | LENOVO 82JU |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Legion Balance Mode |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2021
375.8 IPS |
|
|
Image Classification (HP)
|
99% |
4048
755.0 IPS |
|
|
Image Classification (Q)
|
99% |
1624
302.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3617
58.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
10893
176.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1393
22.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
14884
17.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
63083
73.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
11960
14.0 IPS |
|
|
Object Detection (SP)
|
100% |
1975
156.7 IPS |
|
|
Object Detection (HP)
|
100% |
4625
366.9 IPS |
|
|
Object Detection (Q)
|
85% |
1668
134.3 IPS |
|
|
Face Detection (SP)
|
100% |
2508
29.8 IPS |
|
|
Face Detection (HP)
|
100% |
5430
64.5 IPS |
|
|
Face Detection (Q)
|
97% |
3451
41.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8863
68.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
20721
160.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
6300
50.4 IPS |
|
|
Style Transfer (SP)
|
100% |
30761
39.5 IPS |
|
|
Style Transfer (HP)
|
100% |
109701
141.0 IPS |
|
|
Style Transfer (Q)
|
98% |
20998
27.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4808
177.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29692
1.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
3134
116.0 IPS |
|
|
Text Classification (SP)
|
100% |
1849
2.47 KIPS |
|
|
Text Classification (HP)
|
100% |
2392
3.19 KIPS |
|
|
Text Classification (Q)
|
97% |
970
1.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
2312
39.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2459
42.4 IPS |
|
|
Machine Translation (Q)
|
70% |
981
18.4 IPS |
