LENOVO 83JG
Geekbench AI Score
14257
Single Precision Score
27243
Half Precision Score
11684
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 08 2025 02:28 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5050 Laptop GPU |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6016
1.12 KIPS |
|
|
Image Classification (HP)
|
100% |
10795
2.01 KIPS |
|
|
Image Classification (Q)
|
99% |
5682
1.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9670
156.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
15538
251.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
8987
146.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
65844
76.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
231257
269.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
66500
77.9 IPS |
|
|
Object Detection (SP)
|
100% |
7506
595.4 IPS |
|
|
Object Detection (HP)
|
100% |
13308
1.06 KIPS |
|
|
Object Detection (Q)
|
87% |
6751
541.8 IPS |
|
|
Face Detection (SP)
|
100% |
19180
227.9 IPS |
|
|
Face Detection (HP)
|
100% |
32006
380.3 IPS |
|
|
Face Detection (Q)
|
97% |
17415
207.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
33652
259.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
79343
611.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
29752
237.9 IPS |
|
|
Style Transfer (SP)
|
100% |
102146
131.3 IPS |
|
|
Style Transfer (HP)
|
100% |
356641
458.5 IPS |
|
|
Style Transfer (Q)
|
98% |
88309
113.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
19886
734.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39523
1.46 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
16172
598.8 IPS |
|
|
Text Classification (SP)
|
100% |
2498
3.33 KIPS |
|
|
Text Classification (HP)
|
100% |
2994
4.00 KIPS |
|
|
Text Classification (Q)
|
97% |
1723
2.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
3687
63.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4072
70.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1623
30.4 IPS |
