LENOVO 83JU
Geekbench AI Score
3687
Single Precision Score
1751
Half Precision Score
5882
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 22 2025 11:42 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI 7 350 w/ Radeon 860M |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 83JU |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 7 350 w/ Radeon 860M |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 96 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2725
506.8 IPS |
|
|
Image Classification (HP)
|
100% |
724
134.7 IPS |
|
|
Image Classification (Q)
|
99% |
7460
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1849
30.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1178
19.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2480
40.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5007
5.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
3999
4.67 IPS |
|
|
Pose Estimation (Q)
|
94% |
20086
23.6 IPS |
|
|
Object Detection (SP)
|
100% |
2699
214.1 IPS |
|
|
Object Detection (HP)
|
100% |
855
67.8 IPS |
|
|
Object Detection (Q)
|
86% |
5575
448.1 IPS |
|
|
Face Detection (SP)
|
100% |
5537
65.8 IPS |
|
|
Face Detection (HP)
|
100% |
1791
21.3 IPS |
|
|
Face Detection (Q)
|
97% |
9509
113.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7310
56.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2618
20.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
15822
126.3 IPS |
|
|
Style Transfer (SP)
|
100% |
12188
15.7 IPS |
|
|
Style Transfer (HP)
|
100% |
10606
13.6 IPS |
|
|
Style Transfer (Q)
|
98% |
28408
36.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2528
93.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2135
78.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4115
152.4 IPS |
|
|
Text Classification (SP)
|
100% |
2096
2.80 KIPS |
|
|
Text Classification (HP)
|
100% |
1045
1.40 KIPS |
|
|
Text Classification (Q)
|
97% |
464
621.1 IPS |
|
|
Machine Translation (SP)
|
100% |
2610
44.9 IPS |
|
|
Machine Translation (HP)
|
100% |
840
14.5 IPS |
|
|
Machine Translation (Q)
|
65% |
2933
58.9 IPS |
