LENOVO 83JC
Geekbench ML Score
11395
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 20 2024 01:03 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 83JC |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7435HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 68 Stepping 1 |
| Base Frequency | 3.10 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 32.0 KB x 8 |
| L2 Cache | 512 KB x 8 |
| L3 Cache | 16.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 Laptop GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
5748
1.08 KIPS |
|
|
Image Classification (F16)
|
100% |
6308
1.18 KIPS |
|
|
Image Classification (I8)
|
100% |
5704
1.07 KIPS |
|
|
Image Segmentation (F32)
|
100% |
9875
164.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
8039
134.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
7245
121.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
64253
77.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
62267
75.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
58693
71.1 IPS |
|
|
Object Detection (F32)
|
100% |
2818
210.4 IPS |
|
|
Object Detection (F16)
|
100% |
2853
213.0 IPS |
|
|
Object Detection (I8)
|
61% |
3466
258.8 IPS |
|
|
Face Detection (F32)
|
100% |
15714
186.8 IPS |
|
|
Face Detection (F16)
|
100% |
16489
196.1 IPS |
|
|
Face Detection (I8)
|
89% |
13483
160.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
34672
268.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
27366
212.2 IPS |
|
|
Depth Estimation (I8)
|
94% |
30179
234.0 IPS |
|
|
Style Transfer (F32)
|
100% |
128111
168.5 IPS |
|
|
Style Transfer (F16)
|
100% |
98595
129.7 IPS |
|
|
Style Transfer (I8)
|
98% |
86279
113.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
19796
707.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
18989
678.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
15123
540.1 IPS |
|
|
Text Classification (F32)
|
100% |
2123
3.05 KIPS |
|
|
Text Classification (F16)
|
100% |
2070
2.98 KIPS |
|
|
Text Classification (I8)
|
98% |
1307
1.88 KIPS |
|
|
Machine Translation (F32)
|
100% |
3206
59.0 IPS |
|
|
Machine Translation (F16)
|
100% |
3190
58.7 IPS |
|
|
Machine Translation (I8)
|
70% |
1776
32.7 IPS |
