LENOVO 83JG
Geekbench AI Score
4950
Single Precision Score
8764
Half Precision Score
3606
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 09 2025 04:57 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon 780M Graphics |
| 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% |
1993
370.7 IPS |
|
|
Image Classification (HP)
|
100% |
3684
685.1 IPS |
|
|
Image Classification (Q)
|
100% |
1897
352.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2009
32.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3295
53.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1657
26.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
24135
28.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
55579
64.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
16351
19.2 IPS |
|
|
Object Detection (SP)
|
100% |
1894
150.2 IPS |
|
|
Object Detection (HP)
|
100% |
2981
236.4 IPS |
|
|
Object Detection (Q)
|
87% |
1702
136.7 IPS |
|
|
Face Detection (SP)
|
100% |
3111
37.0 IPS |
|
|
Face Detection (HP)
|
100% |
6190
73.6 IPS |
|
|
Face Detection (Q)
|
97% |
2519
30.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
10088
77.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
19233
148.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
7562
60.6 IPS |
|
|
Style Transfer (SP)
|
100% |
42203
54.3 IPS |
|
|
Style Transfer (HP)
|
100% |
85078
109.4 IPS |
|
|
Style Transfer (Q)
|
98% |
25788
33.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8598
317.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17109
631.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4948
183.2 IPS |
|
|
Text Classification (SP)
|
100% |
2065
2.76 KIPS |
|
|
Text Classification (HP)
|
100% |
2940
3.92 KIPS |
|
|
Text Classification (Q)
|
97% |
1527
2.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
2053
35.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2610
45.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1146
21.5 IPS |
