ASUS System Product Name
Geekbench ML Score
3689
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | January 20 2025 10:41 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B850-PLUS WIFI |
| Power Plan | Hchstleistung |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 8400F 6-Core Processor |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 6 Cores |
| L1 Instruction Cache | 32.0 KB x 6 |
| L1 Data Cache | 32.0 KB x 6 |
| L2 Cache | 1.00 MB x 6 |
| 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% |
1894
354.4 IPS |
|
|
Image Classification (F16)
|
100% |
1903
356.2 IPS |
|
|
Image Classification (I8)
|
99% |
4799
898.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1102
18.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1036
17.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
3165
52.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
5944
7.20 IPS |
|
|
Pose Estimation (F16)
|
100% |
5939
7.19 IPS |
|
|
Pose Estimation (I8)
|
100% |
20819
25.2 IPS |
|
|
Object Detection (F32)
|
100% |
1986
148.3 IPS |
|
|
Object Detection (F16)
|
100% |
2004
149.6 IPS |
|
|
Object Detection (I8)
|
62% |
2015
150.4 IPS |
|
|
Face Detection (F32)
|
100% |
3457
41.1 IPS |
|
|
Face Detection (F16)
|
100% |
3491
41.5 IPS |
|
|
Face Detection (I8)
|
89% |
5323
63.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
6908
53.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
6992
54.2 IPS |
|
|
Depth Estimation (I8)
|
96% |
15493
120.1 IPS |
|
|
Style Transfer (F32)
|
100% |
14359
18.9 IPS |
|
|
Style Transfer (F16)
|
100% |
14355
18.9 IPS |
|
|
Style Transfer (I8)
|
98% |
24105
31.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2752
98.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2661
95.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3709
132.5 IPS |
|
|
Text Classification (F32)
|
100% |
1727
2.48 KIPS |
|
|
Text Classification (F16)
|
100% |
1264
1.82 KIPS |
|
|
Text Classification (I8)
|
98% |
1131
1.63 KIPS |
|
|
Machine Translation (F32)
|
100% |
2283
42.0 IPS |
|
|
Machine Translation (F16)
|
100% |
2317
42.6 IPS |
|
|
Machine Translation (I8)
|
67% |
3262
60.0 IPS |
