LENOVO 82JU
Geekbench ML Score
8844
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 24 2024 03:01 PM |
| Views | 3 |
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% |
4343
812.7 IPS |
|
|
Image Classification (F16)
|
100% |
4392
821.9 IPS |
|
|
Image Classification (I8)
|
100% |
3302
617.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
6246
104.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
6168
103.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
4909
82.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
54352
65.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
56797
68.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
50795
61.5 IPS |
|
|
Object Detection (F32)
|
100% |
3183
237.6 IPS |
|
|
Object Detection (F16)
|
100% |
3274
244.4 IPS |
|
|
Object Detection (I8)
|
63% |
2793
208.5 IPS |
|
|
Face Detection (F32)
|
100% |
12399
147.4 IPS |
|
|
Face Detection (F16)
|
100% |
12384
147.3 IPS |
|
|
Face Detection (I8)
|
89% |
9521
113.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
26871
208.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
26704
207.1 IPS |
|
|
Depth Estimation (I8)
|
94% |
18656
144.7 IPS |
|
|
Style Transfer (F32)
|
100% |
99759
131.2 IPS |
|
|
Style Transfer (F16)
|
100% |
89467
117.7 IPS |
|
|
Style Transfer (I8)
|
98% |
78929
103.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
17635
629.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
15422
550.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
10583
377.9 IPS |
|
|
Text Classification (F32)
|
100% |
1552
2.23 KIPS |
|
|
Text Classification (F16)
|
100% |
1581
2.27 KIPS |
|
|
Text Classification (I8)
|
98% |
867
1.25 KIPS |
|
|
Machine Translation (F32)
|
100% |
2188
40.3 IPS |
|
|
Machine Translation (F16)
|
100% |
2180
40.1 IPS |
|
|
Machine Translation (I8)
|
70% |
1148
21.1 IPS |
