LENOVO 83JN
Geekbench AI Score
2394
Single Precision Score
1226
Half Precision Score
4958
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 22 2025 12:00 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI 7 350 w/ Radeon 860M |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 83JN |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 7 350 w/ Radeon 860M |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 96 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1499
278.8 IPS |
|
|
Image Classification (HP)
|
100% |
471
87.6 IPS |
|
|
Image Classification (Q)
|
99% |
4774
890.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1178
19.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
634
10.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2239
36.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3293
3.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
3245
3.79 IPS |
|
|
Pose Estimation (Q)
|
94% |
15606
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
1593
126.4 IPS |
|
|
Object Detection (HP)
|
100% |
590
46.8 IPS |
|
|
Object Detection (Q)
|
86% |
4680
376.1 IPS |
|
|
Face Detection (SP)
|
100% |
3995
47.5 IPS |
|
|
Face Detection (HP)
|
100% |
1258
15.0 IPS |
|
|
Face Detection (Q)
|
97% |
6204
74.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4890
37.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1843
14.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
9660
77.1 IPS |
|
|
Style Transfer (SP)
|
100% |
8646
11.1 IPS |
|
|
Style Transfer (HP)
|
100% |
8653
11.1 IPS |
|
|
Style Transfer (Q)
|
98% |
23210
29.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1588
58.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1431
52.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2286
84.6 IPS |
|
|
Text Classification (SP)
|
100% |
1308
1.75 KIPS |
|
|
Text Classification (HP)
|
100% |
789
1.05 KIPS |
|
|
Text Classification (Q)
|
97% |
1334
1.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
1904
32.8 IPS |
|
|
Machine Translation (HP)
|
100% |
597
10.3 IPS |
|
|
Machine Translation (Q)
|
65% |
2714
54.5 IPS |
