LENOVO 83HY
Geekbench ML Score
3777
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 16 2025 07:15 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (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 |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 48.0 KB x 8 |
| L2 Cache | 1.00 MB x 8 |
| L3 Cache | 16.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2015
377.0 IPS |
|
|
Image Classification (F16)
|
100% |
1997
373.7 IPS |
|
|
Image Classification (I8)
|
99% |
4443
831.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1471
24.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1481
24.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
3171
53.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
5238
6.34 IPS |
|
|
Pose Estimation (F16)
|
100% |
5242
6.35 IPS |
|
|
Pose Estimation (I8)
|
100% |
21220
25.7 IPS |
|
|
Object Detection (F32)
|
100% |
2025
151.1 IPS |
|
|
Object Detection (F16)
|
100% |
2025
151.2 IPS |
|
|
Object Detection (I8)
|
62% |
2415
180.3 IPS |
|
|
Face Detection (F32)
|
100% |
2653
31.5 IPS |
|
|
Face Detection (F16)
|
100% |
2667
31.7 IPS |
|
|
Face Detection (I8)
|
89% |
5451
64.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
6304
48.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
6299
48.9 IPS |
|
|
Depth Estimation (I8)
|
96% |
16416
127.3 IPS |
|
|
Style Transfer (F32)
|
100% |
12290
16.2 IPS |
|
|
Style Transfer (F16)
|
100% |
12648
16.6 IPS |
|
|
Style Transfer (I8)
|
98% |
23697
31.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2783
99.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2752
98.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4124
147.3 IPS |
|
|
Text Classification (F32)
|
100% |
1840
2.64 KIPS |
|
|
Text Classification (F16)
|
100% |
1812
2.60 KIPS |
|
|
Text Classification (I8)
|
98% |
1637
2.35 KIPS |
|
|
Machine Translation (F32)
|
100% |
2319
42.7 IPS |
|
|
Machine Translation (F16)
|
100% |
2376
43.7 IPS |
|
|
Machine Translation (I8)
|
67% |
3305
60.8 IPS |
