MACHENIKE L16P
Geekbench ML Score
3283
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 16 2024 07:20 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | MACHENIKE L16P |
| Motherboard | MACHENIKE L16P |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7735H with Radeon Graphics |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 68 Stepping 1 |
| 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 | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1382
258.5 IPS |
|
|
Image Classification (F16)
|
100% |
1417
265.2 IPS |
|
|
Image Classification (I8)
|
100% |
1166
218.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1478
24.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1528
25.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
1226
20.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
19897
24.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
19252
23.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
13428
16.3 IPS |
|
|
Object Detection (F32)
|
100% |
1317
98.3 IPS |
|
|
Object Detection (F16)
|
100% |
1304
97.4 IPS |
|
|
Object Detection (I8)
|
65% |
1122
83.7 IPS |
|
|
Face Detection (F32)
|
100% |
2367
28.1 IPS |
|
|
Face Detection (F16)
|
100% |
2337
27.8 IPS |
|
|
Face Detection (I8)
|
89% |
1796
21.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
8358
64.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
8429
65.4 IPS |
|
|
Depth Estimation (I8)
|
95% |
5765
44.7 IPS |
|
|
Style Transfer (F32)
|
100% |
37928
49.9 IPS |
|
|
Style Transfer (F16)
|
100% |
31661
41.6 IPS |
|
|
Style Transfer (I8)
|
98% |
22504
29.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6803
242.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5959
212.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4040
144.3 IPS |
|
|
Text Classification (F32)
|
100% |
1225
1.76 KIPS |
|
|
Text Classification (F16)
|
100% |
1222
1.76 KIPS |
|
|
Text Classification (I8)
|
98% |
966
1.39 KIPS |
|
|
Machine Translation (F32)
|
100% |
1442
26.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1451
26.7 IPS |
|
|
Machine Translation (I8)
|
70% |
910
16.8 IPS |
