LENOVO 82UD
Geekbench ML Score
2349
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | paisarn |
| Upload Date | September 04 2024 08:51 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | LENOVO 82UD |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700U |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 104 Stepping 1 |
| Base Frequency | 1.80 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 | 4.00 MB x 2 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
913
170.8 IPS |
|
|
Image Classification (F16)
|
100% |
1043
195.3 IPS |
|
|
Image Classification (I8)
|
99% |
852
159.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1143
19.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1212
20.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
1084
18.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
11078
13.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
11533
14.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
9359
11.3 IPS |
|
|
Object Detection (F32)
|
100% |
999
74.6 IPS |
|
|
Object Detection (F16)
|
100% |
991
74.0 IPS |
|
|
Object Detection (I8)
|
67% |
893
66.6 IPS |
|
|
Face Detection (F32)
|
100% |
2456
29.2 IPS |
|
|
Face Detection (F16)
|
100% |
2392
28.4 IPS |
|
|
Face Detection (I8)
|
89% |
1918
22.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
6366
49.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
6426
49.8 IPS |
|
|
Depth Estimation (I8)
|
94% |
4962
38.5 IPS |
|
|
Style Transfer (F32)
|
100% |
16119
21.2 IPS |
|
|
Style Transfer (F16)
|
100% |
19286
25.4 IPS |
|
|
Style Transfer (I8)
|
98% |
14859
19.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3843
137.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3538
126.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2762
98.6 IPS |
|
|
Text Classification (F32)
|
100% |
697
1.00 KIPS |
|
|
Text Classification (F16)
|
100% |
688
989.1 IPS |
|
|
Text Classification (I8)
|
98% |
514
739.3 IPS |
|
|
Machine Translation (F32)
|
100% |
1257
23.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1220
22.4 IPS |
|
|
Machine Translation (I8)
|
69% |
696
12.8 IPS |
