LENOVO 83HY
Geekbench AI Score
3806
Single Precision Score
1977
Half Precision Score
8627
Quantized Score
Geekbench AI 1.4.0 Pro for Windows AVX2
Result Information
| Upload Date | September 04 2025 12:05 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI 7 350 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 83HY |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 7 350 |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3099
576.3 IPS |
|
|
Image Classification (HP)
|
100% |
801
148.9 IPS |
|
|
Image Classification (Q)
|
99% |
7889
1.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1376
22.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1219
19.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
9382
152.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5753
6.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
4630
5.40 IPS |
|
|
Pose Estimation (Q)
|
94% |
21622
25.4 IPS |
|
|
Object Detection (SP)
|
100% |
2986
236.9 IPS |
|
|
Object Detection (HP)
|
100% |
1016
80.6 IPS |
|
|
Object Detection (Q)
|
86% |
7715
620.0 IPS |
|
|
Face Detection (SP)
|
100% |
5120
60.8 IPS |
|
|
Face Detection (HP)
|
100% |
1883
22.4 IPS |
|
|
Face Detection (Q)
|
97% |
10454
124.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7854
60.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2709
20.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
16884
134.7 IPS |
|
|
Style Transfer (SP)
|
100% |
13515
17.4 IPS |
|
|
Style Transfer (HP)
|
100% |
12188
15.7 IPS |
|
|
Style Transfer (Q)
|
98% |
26333
34.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2806
103.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2466
91.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5170
191.4 IPS |
|
|
Text Classification (SP)
|
100% |
2268
3.03 KIPS |
|
|
Text Classification (HP)
|
100% |
1199
1.60 KIPS |
|
|
Text Classification (Q)
|
97% |
2108
2.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
2522
43.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1082
18.6 IPS |
|
|
Machine Translation (Q)
|
65% |
3655
73.4 IPS |
