LENOVO 83JC
Geekbench ML Score
11455
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 20 2024 12:59 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% |
6140
1.15 KIPS |
|
|
Image Classification (F16)
|
100% |
6264
1.17 KIPS |
|
|
Image Classification (I8)
|
100% |
5456
1.02 KIPS |
|
|
Image Segmentation (F32)
|
100% |
8246
137.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
8036
134.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
7284
121.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
62600
75.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
64952
78.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
59189
71.7 IPS |
|
|
Object Detection (F32)
|
100% |
3647
272.3 IPS |
|
|
Object Detection (F16)
|
100% |
3784
282.5 IPS |
|
|
Object Detection (I8)
|
61% |
3499
261.2 IPS |
|
|
Face Detection (F32)
|
100% |
15882
188.8 IPS |
|
|
Face Detection (F16)
|
100% |
16600
197.4 IPS |
|
|
Face Detection (I8)
|
89% |
13691
162.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
26917
208.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
32157
249.4 IPS |
|
|
Depth Estimation (I8)
|
94% |
22768
176.6 IPS |
|
|
Style Transfer (F32)
|
100% |
125779
165.5 IPS |
|
|
Style Transfer (F16)
|
100% |
96661
127.1 IPS |
|
|
Style Transfer (I8)
|
98% |
88387
116.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
20400
728.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
20216
722.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
15075
538.4 IPS |
|
|
Text Classification (F32)
|
100% |
2095
3.01 KIPS |
|
|
Text Classification (F16)
|
100% |
2085
3.00 KIPS |
|
|
Text Classification (I8)
|
98% |
1311
1.88 KIPS |
|
|
Machine Translation (F32)
|
100% |
3185
58.6 IPS |
|
|
Machine Translation (F16)
|
100% |
3188
58.7 IPS |
|
|
Machine Translation (I8)
|
70% |
1813
33.4 IPS |
