LENOVO 83HY
Geekbench ML Score
5101
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 16 2025 09:43 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 | DirectML |
| Device | AMD Radeon(TM) 860M Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1803
337.5 IPS |
|
|
Image Classification (F16)
|
100% |
1745
326.5 IPS |
|
|
Image Classification (I8)
|
100% |
1481
277.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
3154
52.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
3264
54.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
2593
43.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
27742
33.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
27607
33.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
22226
26.9 IPS |
|
|
Object Detection (F32)
|
100% |
1490
111.2 IPS |
|
|
Object Detection (F16)
|
100% |
1490
111.3 IPS |
|
|
Object Detection (I8)
|
62% |
1328
99.2 IPS |
|
|
Face Detection (F32)
|
100% |
4700
55.9 IPS |
|
|
Face Detection (F16)
|
100% |
4789
56.9 IPS |
|
|
Face Detection (I8)
|
89% |
3677
43.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
13145
101.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
13003
100.8 IPS |
|
|
Depth Estimation (I8)
|
95% |
10085
78.2 IPS |
|
|
Style Transfer (F32)
|
100% |
45818
60.3 IPS |
|
|
Style Transfer (F16)
|
100% |
47823
62.9 IPS |
|
|
Style Transfer (I8)
|
98% |
37347
49.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9330
333.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
9559
341.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
6287
224.5 IPS |
|
|
Text Classification (F32)
|
100% |
1726
2.48 KIPS |
|
|
Text Classification (F16)
|
100% |
1791
2.57 KIPS |
|
|
Text Classification (I8)
|
98% |
1379
1.98 KIPS |
|
|
Machine Translation (F32)
|
100% |
2631
48.4 IPS |
|
|
Machine Translation (F16)
|
100% |
2626
48.3 IPS |
|
|
Machine Translation (I8)
|
70% |
1413
26.0 IPS |
