LENOVO 83JC
Geekbench ML Score
11515
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 20 2024 01:00 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% |
6198
1.16 KIPS |
|
|
Image Classification (F16)
|
100% |
6339
1.19 KIPS |
|
|
Image Classification (I8)
|
100% |
5689
1.06 KIPS |
|
|
Image Segmentation (F32)
|
100% |
9738
162.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
8238
137.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
7316
122.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
62900
76.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
62243
75.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
58395
70.7 IPS |
|
|
Object Detection (F32)
|
100% |
3747
279.7 IPS |
|
|
Object Detection (F16)
|
100% |
3770
281.5 IPS |
|
|
Object Detection (I8)
|
61% |
3521
262.9 IPS |
|
|
Face Detection (F32)
|
100% |
15731
187.0 IPS |
|
|
Face Detection (F16)
|
100% |
15828
188.2 IPS |
|
|
Face Detection (I8)
|
89% |
13330
158.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
34850
270.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
26373
204.5 IPS |
|
|
Depth Estimation (I8)
|
94% |
30201
234.2 IPS |
|
|
Style Transfer (F32)
|
100% |
94278
124.0 IPS |
|
|
Style Transfer (F16)
|
100% |
95644
125.8 IPS |
|
|
Style Transfer (I8)
|
98% |
84065
110.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
20690
738.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
20222
722.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
14384
513.7 IPS |
|
|
Text Classification (F32)
|
100% |
2073
2.98 KIPS |
|
|
Text Classification (F16)
|
100% |
2077
2.98 KIPS |
|
|
Text Classification (I8)
|
98% |
1314
1.89 KIPS |
|
|
Machine Translation (F32)
|
100% |
3274
60.3 IPS |
|
|
Machine Translation (F16)
|
100% |
3276
60.3 IPS |
|
|
Machine Translation (I8)
|
70% |
1813
33.4 IPS |
