Machenike Machenike DT Computer
Geekbench ML Score
3407
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 18 2024 01:22 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Machenike Machenike DT Computer |
| Motherboard | Machenike Machenike ARB19X |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7840H w/ Radeon 780M Graphics |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 32.0 KB x 8 |
| L2 Cache | 1.00 MB x 8 |
| L3 Cache | 16.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1956
366.1 IPS |
|
|
Image Classification (F16)
|
100% |
1976
369.8 IPS |
|
|
Image Classification (I8)
|
99% |
5035
942.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1124
18.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1060
17.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
2496
41.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
6929
8.39 IPS |
|
|
Pose Estimation (F16)
|
100% |
5278
6.39 IPS |
|
|
Pose Estimation (I8)
|
100% |
23773
28.8 IPS |
|
|
Object Detection (F32)
|
100% |
1710
127.7 IPS |
|
|
Object Detection (F16)
|
100% |
1461
109.0 IPS |
|
|
Object Detection (I8)
|
62% |
1836
137.1 IPS |
|
|
Face Detection (F32)
|
100% |
2628
31.2 IPS |
|
|
Face Detection (F16)
|
100% |
2745
32.6 IPS |
|
|
Face Detection (I8)
|
89% |
4788
56.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
7863
61.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
6461
50.1 IPS |
|
|
Depth Estimation (I8)
|
96% |
14946
115.9 IPS |
|
|
Style Transfer (F32)
|
100% |
16492
21.7 IPS |
|
|
Style Transfer (F16)
|
100% |
15687
20.6 IPS |
|
|
Style Transfer (I8)
|
98% |
26362
34.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2696
96.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1992
71.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3388
121.0 IPS |
|
|
Text Classification (F32)
|
100% |
1573
2.26 KIPS |
|
|
Text Classification (F16)
|
100% |
1926
2.77 KIPS |
|
|
Text Classification (I8)
|
98% |
382
549.3 IPS |
|
|
Machine Translation (F32)
|
100% |
2049
37.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1876
34.5 IPS |
|
|
Machine Translation (I8)
|
67% |
2816
51.8 IPS |
