ASUS System Product Name
Geekbench ML Score
3735
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | May 08 2024 10:18 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Famille (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B550-PLUS |
| Power Plan | Utilisation normale |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 12 Cores |
| L1 Instruction Cache | 32.0 KB x 12 |
| L1 Data Cache | 32.0 KB x 12 |
| L2 Cache | 512 KB x 12 |
| L3 Cache | 32.0 MB x 2 |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1534
287.0 IPS |
|
|
Image Classification (F16)
|
100% |
1537
287.6 IPS |
|
|
Image Classification (I8)
|
97% |
3453
646.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1971
32.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
2061
34.4 IPS |
|
|
Image Segmentation (I8)
|
97% |
2521
42.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
9613
11.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
9643
11.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
18061
21.9 IPS |
|
|
Object Detection (F32)
|
100% |
1834
136.9 IPS |
|
|
Object Detection (F16)
|
100% |
1841
137.4 IPS |
|
|
Object Detection (I8)
|
60% |
1735
129.5 IPS |
|
|
Face Detection (F32)
|
100% |
3211
38.2 IPS |
|
|
Face Detection (F16)
|
100% |
3211
38.2 IPS |
|
|
Face Detection (I8)
|
87% |
4312
51.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
8099
62.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
8084
62.7 IPS |
|
|
Depth Estimation (I8)
|
74% |
13412
104.0 IPS |
|
|
Style Transfer (F32)
|
100% |
20504
27.0 IPS |
|
|
Style Transfer (F16)
|
100% |
20399
26.8 IPS |
|
|
Style Transfer (I8)
|
85% |
19925
26.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3181
113.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3147
112.4 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
4089
146.0 IPS |
|
|
Text Classification (F32)
|
100% |
1408
2.02 KIPS |
|
|
Text Classification (F16)
|
100% |
1410
2.03 KIPS |
|
|
Text Classification (I8)
|
94% |
381
547.9 IPS |
|
|
Machine Translation (F32)
|
100% |
2478
45.6 IPS |
|
|
Machine Translation (F16)
|
100% |
2489
45.8 IPS |
|
|
Machine Translation (I8)
|
67% |
2910
53.6 IPS |
