MACHENIKE L16P
Geekbench ML Score
2635
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 16 2024 07:15 PM |
| Views | 2 |
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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1690
316.3 IPS |
|
|
Image Classification (F16)
|
100% |
1674
313.2 IPS |
|
|
Image Classification (I8)
|
97% |
2789
522.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
565
9.44 IPS |
|
|
Image Segmentation (F16)
|
100% |
567
9.47 IPS |
|
|
Image Segmentation (I8)
|
97% |
1946
32.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
5857
7.09 IPS |
|
|
Pose Estimation (F16)
|
100% |
5919
7.17 IPS |
|
|
Pose Estimation (I8)
|
100% |
11448
13.9 IPS |
|
|
Object Detection (F32)
|
100% |
1495
111.6 IPS |
|
|
Object Detection (F16)
|
100% |
1511
112.8 IPS |
|
|
Object Detection (I8)
|
60% |
1479
110.4 IPS |
|
|
Face Detection (F32)
|
100% |
1775
21.1 IPS |
|
|
Face Detection (F16)
|
100% |
1765
21.0 IPS |
|
|
Face Detection (I8)
|
87% |
2951
35.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
6106
47.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
6065
47.0 IPS |
|
|
Depth Estimation (I8)
|
74% |
9421
73.1 IPS |
|
|
Style Transfer (F32)
|
100% |
13244
17.4 IPS |
|
|
Style Transfer (F16)
|
100% |
13102
17.2 IPS |
|
|
Style Transfer (I8)
|
85% |
12812
16.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2539
90.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2525
90.2 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
2778
99.2 IPS |
|
|
Text Classification (F32)
|
100% |
1893
2.72 KIPS |
|
|
Text Classification (F16)
|
100% |
1843
2.65 KIPS |
|
|
Text Classification (I8)
|
94% |
385
552.7 IPS |
|
|
Machine Translation (F32)
|
100% |
1454
26.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1446
26.6 IPS |
|
|
Machine Translation (I8)
|
67% |
1790
32.9 IPS |
