LENOVO 83HY
Geekbench ML Score
3547
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 04 2025 11:07 AM |
| Views | 4 |
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% |
2052
384.0 IPS |
|
|
Image Classification (F16)
|
100% |
2033
380.5 IPS |
|
|
Image Classification (I8)
|
99% |
4305
805.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1518
25.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1529
25.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
3292
55.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
5197
6.29 IPS |
|
|
Pose Estimation (F16)
|
100% |
5151
6.24 IPS |
|
|
Pose Estimation (I8)
|
100% |
21959
26.6 IPS |
|
|
Object Detection (F32)
|
100% |
1937
144.6 IPS |
|
|
Object Detection (F16)
|
100% |
1968
146.9 IPS |
|
|
Object Detection (I8)
|
62% |
2121
158.3 IPS |
|
|
Face Detection (F32)
|
100% |
2178
25.9 IPS |
|
|
Face Detection (F16)
|
100% |
2072
24.6 IPS |
|
|
Face Detection (I8)
|
89% |
4115
48.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
5917
45.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
6032
46.8 IPS |
|
|
Depth Estimation (I8)
|
96% |
15452
119.8 IPS |
|
|
Style Transfer (F32)
|
100% |
12160
16.0 IPS |
|
|
Style Transfer (F16)
|
100% |
12034
15.8 IPS |
|
|
Style Transfer (I8)
|
98% |
18475
24.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2690
96.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2706
96.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4511
161.1 IPS |
|
|
Text Classification (F32)
|
100% |
1938
2.78 KIPS |
|
|
Text Classification (F16)
|
100% |
1888
2.71 KIPS |
|
|
Text Classification (I8)
|
98% |
1240
1.78 KIPS |
|
|
Machine Translation (F32)
|
100% |
1940
35.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1942
35.7 IPS |
|
|
Machine Translation (I8)
|
67% |
3103
57.1 IPS |
