LENOVO 82JU
Geekbench ML Score
9556
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 24 2024 06:33 PM |
| Views | 2 |
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% |
5292
990.3 IPS |
|
|
Image Classification (F16)
|
100% |
5223
977.3 IPS |
|
|
Image Classification (I8)
|
100% |
3966
742.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
6405
107.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
6455
107.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
5297
88.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
55810
67.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
65038
78.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
55781
67.5 IPS |
|
|
Object Detection (F32)
|
100% |
3750
280.0 IPS |
|
|
Object Detection (F16)
|
100% |
3700
276.2 IPS |
|
|
Object Detection (I8)
|
63% |
2913
217.4 IPS |
|
|
Face Detection (F32)
|
100% |
13270
157.8 IPS |
|
|
Face Detection (F16)
|
100% |
12923
153.7 IPS |
|
|
Face Detection (I8)
|
89% |
10276
122.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
31065
240.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
30767
238.6 IPS |
|
|
Depth Estimation (I8)
|
94% |
22308
173.0 IPS |
|
|
Style Transfer (F32)
|
100% |
104944
138.0 IPS |
|
|
Style Transfer (F16)
|
100% |
93828
123.4 IPS |
|
|
Style Transfer (I8)
|
98% |
78738
103.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
17782
635.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
16427
586.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
10033
358.3 IPS |
|
|
Text Classification (F32)
|
100% |
1511
2.17 KIPS |
|
|
Text Classification (F16)
|
100% |
1509
2.17 KIPS |
|
|
Text Classification (I8)
|
98% |
881
1.27 KIPS |
|
|
Machine Translation (F32)
|
100% |
2404
44.2 IPS |
|
|
Machine Translation (F16)
|
100% |
2422
44.6 IPS |
|
|
Machine Translation (I8)
|
70% |
1306
24.0 IPS |
