LENOVO 83JL
Geekbench AI Score
3971
Single Precision Score
2041
Half Precision Score
9036
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 06 2025 10:42 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 Single Language (64-bit) |
| Model | LENOVO 83JL |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3091
574.9 IPS |
|
|
Image Classification (HP)
|
100% |
849
157.9 IPS |
|
|
Image Classification (Q)
|
99% |
8291
1.55 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1373
22.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1294
21.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
9786
159.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5972
6.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
5154
6.01 IPS |
|
|
Pose Estimation (Q)
|
94% |
23653
27.7 IPS |
|
|
Object Detection (SP)
|
100% |
3208
254.5 IPS |
|
|
Object Detection (HP)
|
100% |
889
70.5 IPS |
|
|
Object Detection (Q)
|
86% |
8102
651.1 IPS |
|
|
Face Detection (SP)
|
100% |
6074
72.2 IPS |
|
|
Face Detection (HP)
|
100% |
2168
25.8 IPS |
|
|
Face Detection (Q)
|
97% |
10938
130.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8168
62.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2891
22.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
17158
136.9 IPS |
|
|
Style Transfer (SP)
|
100% |
14582
18.7 IPS |
|
|
Style Transfer (HP)
|
100% |
12759
16.4 IPS |
|
|
Style Transfer (Q)
|
98% |
31974
41.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2753
101.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2522
93.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4856
179.8 IPS |
|
|
Text Classification (SP)
|
100% |
2311
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
1173
1.57 KIPS |
|
|
Text Classification (Q)
|
97% |
2071
2.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
2607
44.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1054
18.1 IPS |
|
|
Machine Translation (Q)
|
65% |
3870
77.8 IPS |
