LENOVO 83JG
Geekbench AI Score
1516
Single Precision Score
730
Half Precision Score
3680
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 21 2025 08:13 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 250 w/ Radeon 780M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | LENOVO 83JG |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 250 w/ Radeon 780M Graphics |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1083
201.4 IPS |
|
|
Image Classification (HP)
|
100% |
279
51.8 IPS |
|
|
Image Classification (Q)
|
99% |
3545
661.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
681
11.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
359
5.82 IPS |
|
|
Image Segmentation (Q)
|
98% |
4000
65.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2245
2.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
1984
2.32 IPS |
|
|
Pose Estimation (Q)
|
94% |
9778
11.5 IPS |
|
|
Object Detection (SP)
|
100% |
1091
86.5 IPS |
|
|
Object Detection (HP)
|
100% |
335
26.5 IPS |
|
|
Object Detection (Q)
|
86% |
3294
264.7 IPS |
|
|
Face Detection (SP)
|
100% |
2445
29.1 IPS |
|
|
Face Detection (HP)
|
100% |
764
9.08 IPS |
|
|
Face Detection (Q)
|
97% |
4597
54.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2996
23.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1093
8.42 IPS |
|
|
Depth Estimation (Q)
|
78% |
4382
35.0 IPS |
|
|
Style Transfer (SP)
|
100% |
5465
7.03 IPS |
|
|
Style Transfer (HP)
|
100% |
5101
6.56 IPS |
|
|
Style Transfer (Q)
|
98% |
11968
15.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
981
36.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
919
33.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2825
104.6 IPS |
|
|
Text Classification (SP)
|
100% |
868
1.16 KIPS |
|
|
Text Classification (HP)
|
100% |
385
513.4 IPS |
|
|
Text Classification (Q)
|
97% |
885
1.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
1042
18.0 IPS |
|
|
Machine Translation (HP)
|
100% |
429
7.39 IPS |
|
|
Machine Translation (Q)
|
65% |
1659
33.3 IPS |
