ASUS System Product Name
Geekbench ML Score
3568
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | May 09 2024 06:21 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B550-A GAMING |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 4.65 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 | 32.0 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% |
2319
433.9 IPS |
|
|
Image Classification (F16)
|
100% |
2143
401.1 IPS |
|
|
Image Classification (I8)
|
97% |
3705
693.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1913
31.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
2030
33.9 IPS |
|
|
Image Segmentation (I8)
|
97% |
1982
33.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
5670
6.87 IPS |
|
|
Pose Estimation (F16)
|
100% |
6370
7.71 IPS |
|
|
Pose Estimation (I8)
|
100% |
12963
15.7 IPS |
|
|
Object Detection (F32)
|
100% |
2034
151.9 IPS |
|
|
Object Detection (F16)
|
100% |
2016
150.5 IPS |
|
|
Object Detection (I8)
|
60% |
1976
147.5 IPS |
|
|
Face Detection (F32)
|
100% |
2966
35.3 IPS |
|
|
Face Detection (F16)
|
100% |
3005
35.7 IPS |
|
|
Face Detection (I8)
|
87% |
4329
51.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
8247
64.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
7891
61.2 IPS |
|
|
Depth Estimation (I8)
|
74% |
12278
95.2 IPS |
|
|
Style Transfer (F32)
|
100% |
15594
20.5 IPS |
|
|
Style Transfer (F16)
|
100% |
14580
19.2 IPS |
|
|
Style Transfer (I8)
|
85% |
16205
21.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3155
112.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3021
107.9 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
3516
125.6 IPS |
|
|
Text Classification (F32)
|
100% |
1811
2.60 KIPS |
|
|
Text Classification (F16)
|
100% |
1962
2.82 KIPS |
|
|
Text Classification (I8)
|
94% |
341
490.0 IPS |
|
|
Machine Translation (F32)
|
100% |
2418
44.5 IPS |
|
|
Machine Translation (F16)
|
100% |
2312
42.5 IPS |
|
|
Machine Translation (I8)
|
67% |
2719
50.0 IPS |
