LENOVO 83JU
Geekbench AI Score
1903
Single Precision Score
1050
Half Precision Score
4579
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 09 2025 11:33 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI 7 350 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 83JU |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 7 350 |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1064
197.8 IPS |
|
|
Image Classification (HP)
|
100% |
401
74.6 IPS |
|
|
Image Classification (Q)
|
99% |
4231
789.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
777
12.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
607
9.84 IPS |
|
|
Image Segmentation (Q)
|
98% |
4868
79.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2997
3.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
2715
3.17 IPS |
|
|
Pose Estimation (Q)
|
94% |
12217
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1354
107.4 IPS |
|
|
Object Detection (HP)
|
100% |
491
39.0 IPS |
|
|
Object Detection (Q)
|
86% |
3455
277.7 IPS |
|
|
Face Detection (SP)
|
100% |
3111
37.0 IPS |
|
|
Face Detection (HP)
|
100% |
1089
12.9 IPS |
|
|
Face Detection (Q)
|
97% |
5347
63.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3885
29.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1534
11.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
8678
69.2 IPS |
|
|
Style Transfer (SP)
|
100% |
7446
9.57 IPS |
|
|
Style Transfer (HP)
|
100% |
7189
9.24 IPS |
|
|
Style Transfer (Q)
|
98% |
16326
21.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1199
44.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1211
44.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2953
109.4 IPS |
|
|
Text Classification (SP)
|
100% |
1118
1.49 KIPS |
|
|
Text Classification (HP)
|
100% |
624
832.9 IPS |
|
|
Text Classification (Q)
|
97% |
1047
1.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
1544
26.6 IPS |
|
|
Machine Translation (HP)
|
100% |
557
9.60 IPS |
|
|
Machine Translation (Q)
|
65% |
1993
40.1 IPS |
