LENOVO 82R4
Geekbench ML Score
2298
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | April 27 2024 04:01 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 82R4 |
| 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 | 24.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
937
175.3 IPS |
|
|
Image Classification (F16)
|
100% |
954
178.6 IPS |
|
|
Image Classification (I8)
|
99% |
800
149.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1167
19.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1166
19.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
1004
16.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
11110
13.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
11177
13.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
9124
11.0 IPS |
|
|
Object Detection (F32)
|
100% |
899
67.2 IPS |
|
|
Object Detection (F16)
|
100% |
844
63.0 IPS |
|
|
Object Detection (I8)
|
67% |
813
60.7 IPS |
|
|
Face Detection (F32)
|
100% |
1965
23.4 IPS |
|
|
Face Detection (F16)
|
100% |
2010
23.9 IPS |
|
|
Face Detection (I8)
|
90% |
1624
19.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
6156
47.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
6083
47.2 IPS |
|
|
Depth Estimation (I8)
|
94% |
4837
37.5 IPS |
|
|
Style Transfer (F32)
|
100% |
20182
26.5 IPS |
|
|
Style Transfer (F16)
|
100% |
20362
26.8 IPS |
|
|
Style Transfer (I8)
|
98% |
15603
20.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3995
142.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3856
137.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2690
96.1 IPS |
|
|
Text Classification (F32)
|
100% |
816
1.17 KIPS |
|
|
Text Classification (F16)
|
100% |
823
1.18 KIPS |
|
|
Text Classification (I8)
|
98% |
528
758.9 IPS |
|
|
Machine Translation (F32)
|
100% |
1186
21.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1179
21.7 IPS |
|
|
Machine Translation (I8)
|
69% |
668
12.3 IPS |
