LENOVO 83HY
Geekbench AI Score
3673
Single Precision Score
1895
Half Precision Score
8486
Quantized Score
Geekbench AI 1.4.0 Pro for Windows AVX2
Result Information
| User | SpaceAceTACP |
| Upload Date | September 04 2025 06:25 AM |
| Views | 9 |
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% |
3207
596.4 IPS |
|
|
Image Classification (HP)
|
100% |
833
154.9 IPS |
|
|
Image Classification (Q)
|
99% |
7998
1.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1357
22.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1182
19.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
8965
145.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5255
6.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
4090
4.77 IPS |
|
|
Pose Estimation (Q)
|
94% |
21186
24.8 IPS |
|
|
Object Detection (SP)
|
100% |
2951
234.1 IPS |
|
|
Object Detection (HP)
|
100% |
880
69.8 IPS |
|
|
Object Detection (Q)
|
86% |
7374
592.6 IPS |
|
|
Face Detection (SP)
|
100% |
5083
60.4 IPS |
|
|
Face Detection (HP)
|
100% |
1889
22.4 IPS |
|
|
Face Detection (Q)
|
97% |
10653
127.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7508
57.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2706
20.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
16446
131.2 IPS |
|
|
Style Transfer (SP)
|
100% |
12901
16.6 IPS |
|
|
Style Transfer (HP)
|
100% |
11660
15.0 IPS |
|
|
Style Transfer (Q)
|
98% |
25791
33.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2511
92.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2281
84.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4944
183.1 IPS |
|
|
Text Classification (SP)
|
100% |
2287
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
1212
1.62 KIPS |
|
|
Text Classification (Q)
|
97% |
2156
2.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
2344
40.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1027
17.7 IPS |
|
|
Machine Translation (Q)
|
65% |
3590
72.1 IPS |
