LENOVO 83JG
Geekbench AI Score
17180
Single Precision Score
31524
Half Precision Score
13747
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 09 2025 05:08 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 83JG |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Bilanciato |
| 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% |
7193
1.34 KIPS |
|
|
Image Classification (HP)
|
100% |
12980
2.41 KIPS |
|
|
Image Classification (Q)
|
99% |
6751
1.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11310
183.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
18422
298.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
10667
173.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
87673
102.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
280087
326.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
78575
92.0 IPS |
|
|
Object Detection (SP)
|
100% |
9067
719.2 IPS |
|
|
Object Detection (HP)
|
100% |
15596
1.24 KIPS |
|
|
Object Detection (Q)
|
87% |
8009
642.7 IPS |
|
|
Face Detection (SP)
|
100% |
23123
274.8 IPS |
|
|
Face Detection (HP)
|
100% |
36827
437.6 IPS |
|
|
Face Detection (Q)
|
97% |
20801
248.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
41681
321.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
88240
679.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
34749
277.8 IPS |
|
|
Style Transfer (SP)
|
100% |
131304
168.8 IPS |
|
|
Style Transfer (HP)
|
100% |
425111
546.5 IPS |
|
|
Style Transfer (Q)
|
98% |
112639
145.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
24219
894.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46214
1.71 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
20072
743.2 IPS |
|
|
Text Classification (SP)
|
100% |
2917
3.89 KIPS |
|
|
Text Classification (HP)
|
100% |
3454
4.61 KIPS |
|
|
Text Classification (Q)
|
97% |
1921
2.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
3876
66.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4209
72.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1695
31.8 IPS |
