LENOVO 82JQ
Geekbench ML Score
2777
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | January 21 2024 03:33 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 82JQ |
| 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 | AMD Radeon(TM) Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1111
207.8 IPS |
|
|
Image Classification (F16)
|
100% |
1194
223.4 IPS |
|
|
Image Classification (I8)
|
99% |
973
182.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1378
23.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1372
22.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
1158
19.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
12800
15.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
12736
15.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
10220
12.4 IPS |
|
|
Object Detection (F32)
|
100% |
1123
83.9 IPS |
|
|
Object Detection (F16)
|
100% |
1111
82.9 IPS |
|
|
Object Detection (I8)
|
67% |
982
73.3 IPS |
|
|
Face Detection (F32)
|
100% |
2690
32.0 IPS |
|
|
Face Detection (F16)
|
100% |
2693
32.0 IPS |
|
|
Face Detection (I8)
|
89% |
2056
24.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
7157
55.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
7216
56.0 IPS |
|
|
Depth Estimation (I8)
|
94% |
5499
42.6 IPS |
|
|
Style Transfer (F32)
|
100% |
22274
29.3 IPS |
|
|
Style Transfer (F16)
|
100% |
22013
29.0 IPS |
|
|
Style Transfer (I8)
|
98% |
17014
22.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4633
165.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4454
159.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3024
108.0 IPS |
|
|
Text Classification (F32)
|
100% |
1013
1.46 KIPS |
|
|
Text Classification (F16)
|
100% |
1016
1.46 KIPS |
|
|
Text Classification (I8)
|
98% |
674
968.4 IPS |
|
|
Machine Translation (F32)
|
100% |
1682
30.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1683
31.0 IPS |
|
|
Machine Translation (I8)
|
69% |
819
15.1 IPS |
