LENOVO 82JU
Geekbench ML Score
9317
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 24 2024 04:57 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | LENOVO 82JU |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.20 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 | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3060 Laptop GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4889
914.8 IPS |
|
|
Image Classification (F16)
|
100% |
4958
927.7 IPS |
|
|
Image Classification (I8)
|
100% |
3780
707.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
6362
106.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
6275
104.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
4900
81.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
53596
64.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
54819
66.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
45628
55.3 IPS |
|
|
Object Detection (F32)
|
100% |
3308
247.0 IPS |
|
|
Object Detection (F16)
|
100% |
3701
276.3 IPS |
|
|
Object Detection (I8)
|
63% |
3169
236.6 IPS |
|
|
Face Detection (F32)
|
100% |
13228
157.3 IPS |
|
|
Face Detection (F16)
|
100% |
13213
157.1 IPS |
|
|
Face Detection (I8)
|
89% |
10217
121.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
30497
236.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
30609
237.4 IPS |
|
|
Depth Estimation (I8)
|
94% |
22102
171.4 IPS |
|
|
Style Transfer (F32)
|
100% |
110648
145.5 IPS |
|
|
Style Transfer (F16)
|
100% |
91090
119.8 IPS |
|
|
Style Transfer (I8)
|
98% |
76532
100.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
17370
620.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
15766
563.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
10740
383.6 IPS |
|
|
Text Classification (F32)
|
100% |
1428
2.05 KIPS |
|
|
Text Classification (F16)
|
100% |
1774
2.55 KIPS |
|
|
Text Classification (I8)
|
98% |
831
1.19 KIPS |
|
|
Machine Translation (F32)
|
100% |
2423
44.6 IPS |
|
|
Machine Translation (F16)
|
100% |
2409
44.3 IPS |
|
|
Machine Translation (I8)
|
70% |
1252
23.0 IPS |
