LENOVO 83HY
Geekbench ML Score
3620
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 04 2025 11:12 AM |
| Views | 9 |
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% |
2039
381.6 IPS |
|
|
Image Classification (F16)
|
100% |
2049
383.4 IPS |
|
|
Image Classification (I8)
|
99% |
5130
959.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1536
25.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1475
24.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
3125
52.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
5215
6.31 IPS |
|
|
Pose Estimation (F16)
|
100% |
5200
6.30 IPS |
|
|
Pose Estimation (I8)
|
100% |
21717
26.3 IPS |
|
|
Object Detection (F32)
|
100% |
1926
143.8 IPS |
|
|
Object Detection (F16)
|
100% |
1952
145.7 IPS |
|
|
Object Detection (I8)
|
62% |
2413
180.1 IPS |
|
|
Face Detection (F32)
|
100% |
2189
26.0 IPS |
|
|
Face Detection (F16)
|
100% |
2181
25.9 IPS |
|
|
Face Detection (I8)
|
89% |
4468
53.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
6038
46.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
6028
46.8 IPS |
|
|
Depth Estimation (I8)
|
96% |
15449
119.8 IPS |
|
|
Style Transfer (F32)
|
100% |
12125
15.9 IPS |
|
|
Style Transfer (F16)
|
100% |
12347
16.2 IPS |
|
|
Style Transfer (I8)
|
98% |
18567
24.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2584
92.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2670
95.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4116
147.0 IPS |
|
|
Text Classification (F32)
|
100% |
1936
2.78 KIPS |
|
|
Text Classification (F16)
|
100% |
1934
2.78 KIPS |
|
|
Text Classification (I8)
|
98% |
1668
2.40 KIPS |
|
|
Machine Translation (F32)
|
100% |
1946
35.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1948
35.9 IPS |
|
|
Machine Translation (I8)
|
67% |
3182
58.6 IPS |
