LENOVO 83JG
Geekbench AI Score
3032
Single Precision Score
1467
Half Precision Score
6286
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 09 2025 04:52 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 250 w/ 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% |
2284
424.8 IPS |
|
|
Image Classification (HP)
|
100% |
466
86.6 IPS |
|
|
Image Classification (Q)
|
99% |
5877
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
998
16.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
574
9.31 IPS |
|
|
Image Segmentation (Q)
|
98% |
5649
91.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3985
4.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
4210
4.91 IPS |
|
|
Pose Estimation (Q)
|
94% |
14670
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
1823
144.6 IPS |
|
|
Object Detection (HP)
|
100% |
696
55.2 IPS |
|
|
Object Detection (Q)
|
86% |
6829
548.8 IPS |
|
|
Face Detection (SP)
|
100% |
4011
47.7 IPS |
|
|
Face Detection (HP)
|
100% |
1468
17.4 IPS |
|
|
Face Detection (Q)
|
97% |
8251
98.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7896
60.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2350
18.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
6768
54.0 IPS |
|
|
Style Transfer (SP)
|
100% |
13470
17.3 IPS |
|
|
Style Transfer (HP)
|
100% |
12433
16.0 IPS |
|
|
Style Transfer (Q)
|
98% |
17417
22.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2415
89.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2093
77.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6424
237.9 IPS |
|
|
Text Classification (SP)
|
100% |
2238
2.99 KIPS |
|
|
Text Classification (HP)
|
100% |
896
1.20 KIPS |
|
|
Text Classification (Q)
|
97% |
1801
2.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
1723
29.7 IPS |
|
|
Machine Translation (HP)
|
100% |
736
12.7 IPS |
|
|
Machine Translation (Q)
|
65% |
2577
51.8 IPS |
