ASUS System Product Name
Geekbench ML Score
4099
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | pfm3136 |
| Upload Date | August 16 2024 06:03 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B550-F GAMING |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 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 | 96.0 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% |
2386
446.4 IPS |
|
|
Image Classification (F16)
|
100% |
2383
445.9 IPS |
|
|
Image Classification (I8)
|
97% |
3924
734.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
2346
39.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
2339
39.1 IPS |
|
|
Image Segmentation (I8)
|
97% |
2159
36.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
7273
8.81 IPS |
|
|
Pose Estimation (F16)
|
100% |
7282
8.82 IPS |
|
|
Pose Estimation (I8)
|
100% |
13376
16.2 IPS |
|
|
Object Detection (F32)
|
100% |
2325
173.6 IPS |
|
|
Object Detection (F16)
|
100% |
1435
107.1 IPS |
|
|
Object Detection (I8)
|
60% |
2109
157.5 IPS |
|
|
Face Detection (F32)
|
100% |
6720
79.9 IPS |
|
|
Face Detection (F16)
|
100% |
6745
80.2 IPS |
|
|
Face Detection (I8)
|
87% |
6019
71.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
8750
67.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
8829
68.5 IPS |
|
|
Depth Estimation (I8)
|
74% |
13757
106.7 IPS |
|
|
Style Transfer (F32)
|
100% |
18063
23.8 IPS |
|
|
Style Transfer (F16)
|
100% |
18102
23.8 IPS |
|
|
Style Transfer (I8)
|
85% |
19344
25.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3479
124.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2079
74.2 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
3924
140.1 IPS |
|
|
Text Classification (F32)
|
100% |
1946
2.80 KIPS |
|
|
Text Classification (F16)
|
100% |
1957
2.81 KIPS |
|
|
Text Classification (I8)
|
94% |
377
542.5 IPS |
|
|
Machine Translation (F32)
|
100% |
2993
55.1 IPS |
|
|
Machine Translation (F16)
|
100% |
2957
54.4 IPS |
|
|
Machine Translation (I8)
|
67% |
2767
50.9 IPS |
